Relevant bibliographies by topics / Cognitive mobile ad-hoc network

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Academic literature on the topic 'Cognitive mobile ad-hoc network'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Cognitive mobile ad-hoc network"

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Afridi, Muhammad Ishaq. "Cognition in a Cognitive Routing System for Mobile Ad-Hoc Network through Leaning Automata and Neural Network." Applied Mechanics and Materials 421 (September 2013): 694–700. http://dx.doi.org/10.4028/www.scientific.net/amm.421.694.

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A cognitive routing system intelligently selects one protocol at a time for specific routing conditions and environment in MANET. Cognition or self-learning can be achieved in a cognitive routing system for mobile ad-hoc network (MANET) through a learning system like learning automata or neural networks. This article covers the application of learning automata and neural network to achieve cognition in MANET routing system. Mobile Ad-hoc networks are dynamic in nature and lack any fixed infrastructure, so the implementation of cognition enhances the performance of overall routing system in these networks. In learning automata the process of learning is different from reasoning or decision making. Learning automata require little knowledge to take decisions. Neural network can be improved by increasing the number of neurons and changing parameters. Self-training enhance neural network performance and it select suitable protocol for a given network environment. Cognition in MANET is either based upon learning automata as in some wireless sensor networks or specialized cognitive neural networks like Elman network. Learning automata do not follow predetermine rules and has the ability to learn and evolve. The interaction of learning automata with the MANET environment results in the evolution of cognition system.
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Palanisamy, Ramesh, Senthil Jayapal, Anand M, and Jeelani Basha. "ENHANCED HYBRID COGNITIVE RADIO AD HOC NETWORKS (CRAHNs) FOR MOBILE NETWORK." International Journal of Computer Science and Mobile Computing 11, no. 11 (2022): 237–46. http://dx.doi.org/10.47760/ijcsmc.2022.v11i11.020.

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In sensor networks, a very crucial aspect of the maintenance of the communications of secure data is the data, which is the most difficult of all tasks. The sensor network consists of hierarchical elements like the Base Station (BS), the Cluster Head (CH) and the Sensor Nodes (SNs), and this will have three different keys, which are the public and private, the cluster and the master keys. Through the opportunistic use of the currently available wireless spectrum, cognitive radio (CR) technology is intended to address the issues in wireless networks brought on by the limited amount of range accessible and the inefficient use of spectrum. With the inherent capabilities of cognitive radio, CR networks will offer the most advanced spectrum-aware communication paradigm in wireless communications. However, the significant spectral fluctuation and various quality-of-service (QoS) requirements faced by CR networks provide unique difficulties. The distributed multihop design, the dynamic network topology, and the time- and location-varying spectrum availability are essential differentiating elements in cognitive radio ad hoc networks (CRAHNs).
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Omar, Shereen, Osama El Ghandour, and Ahmed M. Abd El-Haleem. "Multipath Activity Based Routing Protocol for Mobile ‎Cognitive Radio Ad Hoc Networks." Wireless Communications and Mobile Computing 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/5380525.

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Cognitive radio networks improve spectrum utilization by ‎sharing licensed spectrum with cognitive radio devices. In ‎cognitive radio ad hoc networks the routing protocol is one ‎of the most challenging tasks due to the changes in ‎frequency spectrum and the interrupted connectivity ‎caused by the primary user activity. In this paper, a multi‎path activity based routing protocol for cognitive radio ‎network (MACNRP) is proposed. The protocol utilizes ‎channel availability and creates multiple node-disjoint ‎routes between the source and destination nodes. The ‎proposed protocol is compared with D2CARP and FTCRP ‎protocols. The performance evaluation is conducted ‎through mathematical analysis and using OPNET ‎simulation. The performance of the proposed protocol ‎achieves an increase in network throughput; besides it ‎decreases the probability of route failure due to node ‎mobility and primary user activity. We have found that the ‎MACNRP scheme results in 50% to 75% reduction in ‎blocking probability and 33% to 78% improvement in ‎network throughput, with a reasonable additional routing ‎overhead and average packet delay. Due to the successful ‎reduction of collision between primary users and ‎cognitive users, the MACNRP scheme results in decreasing ‎the path failure rate by 50% to 87%.‎
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Qu, Yuben, Chao Dong, Song Guo, Shaojie Tang, Hai Wang, and Chang Tian. "Spectrum-Aware Network Coded Multicast in Mobile Cognitive Radio Ad Hoc Networks." IEEE Transactions on Vehicular Technology 66, no. 6 (2017): 5340–50. http://dx.doi.org/10.1109/tvt.2016.2621007.

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Sun, Yan, Jingwen Bai, Hao Zhang, Roujia Sun, and Chris Phillips. "A Mobility-Based Routing Protocol for CR Enabled Mobile Ad Hoc Networks." International Journal of Wireless Networks and Broadband Technologies 4, no. 1 (2015): 81–104. http://dx.doi.org/10.4018/ijwnbt.2015010106.

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With the fast development of hardware and chipset functionality and capability, smart devices equipped with advanced technologies, such as Cognitive Radio (CR) will offer promising opportunities for mobile network. The authors in this work design a mobility based routing protocol (CRMBR) which operates in CR enabled Mobile Ad hoc Networks (MANETs). The adopted cross layer structure transfers the cognitive sensing data, such as channel quality and available bandwidth, from Physical layer up to MAC/Network layers periodically. Network layer uses such information for executing route selection algorithm while MAC layer runs the sub-channel scheduling algorithm based on CR data before each transmission. CRMBR further employs an advanced acknowledgment scheme in MAC layer for sub-channel selection to reduce the control overhead while forwarding data in MANETs. The performance of CRMBR is investigated via simulations on OpNET platform and the results confirm its favorable operation within CR MANET environments compared to two classic routing protocols in Ad hot networks: AODV and DSR.
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Joshi, Gyanendra Prasad, Seung Yeob Nam, Chang-Su Kim, and Sung Won Kim. "A Cross-Layer-Based Routing Protocol for Ad Hoc Cognitive Radio Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/938191.

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This paper proposes a cross-layer-based routing protocol for mobile ad hoc cognitive radio networks. The routing layer receives the spectrum-availability-related information from the medium access control layer and selects the next hop node on the route according to the spectrum information. This paper examines the expectation of channel switching in a range of scenarios and proposes a novel route selection method to mitigate the frequent channel switching. The proposed protocol distributes the routing overheads among secondary users in the network and prolongs the network lifetime. An extensive simulation was performed to evaluate the proposed approach, and the results showed that the proposed protocol extends the network lifetime and maintains a higher data delivery ratio.
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Cacciapuoti, Angela Sara, Marcello Caleffi, and Luigi Paura. "Reactive routing for mobile cognitive radio ad hoc networks." Ad Hoc Networks 10, no. 5 (2012): 803–15. http://dx.doi.org/10.1016/j.adhoc.2011.04.004.

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Rajalakshmi, D., and K. Meena. "A Hybrid Intrusion Detection System for Mobile Adhoc Networks using FBID Protocol." Scalable Computing: Practice and Experience 21, no. 1 (2020): 137–45. http://dx.doi.org/10.12694/scpe.v21i1.1642.

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The security in a mobile ad hoc networks is more vulnerable and susceptible to the environment, because in this network no centralized environment for monitoring individual nodes activity during communication. The intruders are hacked the networks either locally and globally. Now a day’s mobile ad hoc network is an emerging area of research due to its unique characteristics. It’s more vulnerable to detect malicious activities, and error prone in nature due to their dynamic topology configuration. Based on their difficulties of intrusion detection system, in this paper proposed a novel approach for mobile ad hoc network is Fuzzy Based Intrusion Detection (FBID) protocol, to identify, analyze and detect a malicious node in different circumstances. This protocol it improves the efficiency of the system and does not degrade the system performance in real time.This FBID system is more efficient and the performance is compared with AODV, Fuzzy Cognitive Mapping with the following performance metrics: Throughput, Packet Delivery Ratio, Packets Dropped, Routing overhead, Propagation delay and shortest path for delivering packets from one node to another node. The System is robust. It produces the crisp output to the benefit of end users. It provides an integrated solution capable of detecting the majority of security attacks occurring in MANETs.
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Neeraj Verma, Pro. (Dr.) Awakash Mishra. "Considering Performance Issues in Ad Hoc Networking : A Comprehensive Study." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 5514–25. http://dx.doi.org/10.52783/tjjpt.v44.i4.1930.

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Ad hoc networks have emerged as a versatile and dynamic communication paradigm with applications spanning from mobile devices and sensor networks to emergency response and military operations. However, their inherent decentralized and self-organizing nature gives rise to a myriad of performance challenges that must be comprehensively addressed to ensure reliable and efficient communication. This paper presents a comprehensive study of performance issues in ad hoc networking, aiming to provide a holistic understanding of the various factors impacting network performance. The study begins by examining the fundamental characteristics of ad hoc networks, highlighting their unique advantages and challenges. We delve into critical performance metrics such as throughput, latency, scalability, and energy efficiency, dissecting the factors that influence each of these metrics in ad hoc environments. The role of routing protocols, MAC layer design, and network topologies in shaping network performance is thoroughly analyzed. Furthermore, this study explores the impact of mobility patterns, traffic models, and interference on ad hoc network performance. It delves into the challenges posed by dynamic network topologies, node failures, and the need for adaptive mechanisms to maintain robust connectivity. Quality of service (QoS) considerations and their implications on performance are also discussed in detail. To provide a comprehensive view, we survey state-of-the-art solutions and techniques proposed in the literature to mitigate performance issues in ad hoc networks. These include adaptive routing algorithms, cross-layer optimization approaches, and novel communication paradigms like cognitive radio networks. Finally, we present a roadmap for future research directions in the field of ad hoc networking performance optimization. The goal is to inspire further investigation and innovation in addressing the evolving challenges faced by ad hoc networks, making them more reliable, efficient, and adaptable for a wide range of applications.
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Sangeetha, R., and S. NandhaKumar. "Detach the Intricate Network for Analyse Broadcast Protocols in AD HOC Network Using Random Channel Usability." International Journal of Advance Research and Innovation 3, no. 2 (2015): 44–48. http://dx.doi.org/10.51976/ijari.321511.

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Cognitive radio (CR) is one of today’s up-and-coming technologies. It facilitates communication because it creates greater efficiencies in mobile networks. CR allows unlicensed (secondary) users to exploit, in an opportunistic or ad hoc manner, the radio communications spectrum allocated to licensed (primary) users. CR is a promising potential solution to the problems caused by inflexibility in spectrum allocation policy, with attendant spectrum shortage. Due to facility in cognitive radio (CR) ad hoc networks, many unlicensed users may acquire different available channels depending on the locations and traffic of licensed users for efficient broadcast operation. By this strategy, proposed work enables the novel unified analytical model to estimate the efficiency of several protocols. First step is decompose the intricate network into a few simpler networks so that the successful broadcast ratio of these simpler networks is straightforward and also obtain successful broadcast ratio of the overall network can be acquired. These systematic models efficiently analyze all protocol without considering their design and specification.
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Dissertations / Theses on the topic "Cognitive mobile ad-hoc network"

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Al-Turaihi, Firas Sabah Salih. "Performance improvement for mobile ad hoc cognitive packets network." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/17123.

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In this thesis, focusing on the quality of service (QoS) improvement using per-packet power control algorithm in Ad Hoc Cognitive Packet Networks (AHCPN). A power control mechanism creates as a network-assisted function of ad hoc cognitive packet-based routing and aims at reducing both energy consumption in nodes and QoS requirements. The suggested models facilitate transmission power adjustments while also taking into account the effects on network performance. The thesis concentrate on three main contributions. Firstly, a power control algorithm, namely the adaptive Distributed Power management algorithm (DISPOW) was adopted. Performance of DISPOW was compared to existing mechanisms and the results showed 27, 13, 9, and 40 percent improvements in terms of Delay, Throughput, Packet Loss, and Energy Consumption respectively. Secondly, the DISPOW algorithm was enhanced, namely a Link Expiration Time Aware Distributed Power management algorithm (LETPOW). This approach periodically checks connectivity, transmission power, interference level, routing overhead and Node Mobility in AHCPN. The results show that LETPOW algorithm improves the performance of system. Results show further improvement from DISPOW by 30,25,30,42 percent in terms of delay, packet loss ratio , path lengths and energy consumption respectively. Finally,Hybrid Power Control Algorithm (HLPCA) has presented is a combination of Link Expiration Time Aware Distributed Power management algorithm (LETPOW) and Load Power Control Algorithm (LOADPOW); deal with cross-layer power control applied for transmitting information across the various intermediate layers. LOADPOW emphasis on the concept of transmission Power, Received Signal Strength Indication (RSSI), and the suitable distance between the receiver and the sender. The proposed algorithm outperforms DISPOW and LETPOW by 31,15,35,34,44 percent in terms of Delay, Throughput, Packet Loss,path length and Energy Consumption respectively. From this work, it can be concluded that optimized power control algorithm applied to Ad-hoc cognitive packet network results in significant improvement in terms of energy consumption and QoS.
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Masrub, Abdullah Ashur. "Cognitive MAC protocols for mobile ad-hoc networks." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7621.

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The term of Cognitive Radio (CR) used to indicate that spectrum radio could be accessed dynamically and opportunistically by unlicensed users. In CR Networks, Interference between nodes, hidden terminal problem, and spectrum sensing errors are big issues to be widely discussed in the research field nowadays. To improve the performance of such kind of networks, this thesis proposes Cognitive Medium Access Control (MAC) protocols for Mobile Ad-Hoc Networks (MANETs). From the concept of CR, this thesis has been able to develop a cognitive MAC framework in which a cognitive process consisting of cognitive elements is considered, which can make efficient decisions to optimise the CR network. In this context, three different scenarios to maximize the secondary user's throughput have been proposed. We found that the throughput improvement depends on the transition probabilities. However, considering the past information state of the spectrum can dramatically increases the secondary user's throughput by up to 40%. Moreover, by increasing the number of channels, the throughput of the network can be improved about 25%. Furthermore, to study the impact of Physical (PHY) Layer errors on cognitive MAC layer in MANETs, in this thesis, a Sensing Error-Aware MAC protocols for MANETs has been proposed. The developed model has been able to improve the MAC layer performance under the challenge of sensing errors. In this context, the proposed model examined two sensing error probabilities: the false alarm probability and the missed detection probability. The simulation results have shown that both probabilities could be adapted to maintain the false alarm probability at certain values to achieve good results. Finally, in this thesis, a cooperative sensing scheme with interference mitigation for Cognitive Wireless Mesh Networks (CogMesh) has been proposed. Moreover, a prioritybased traffic scenario to analyze the problem of packet delay and a novel technique for dynamic channel allocation in CogMesh is presented. Considering each channel in the system as a sub-server, the average delay of the users' packets is reduced and the cooperative sensing scenario dramatically increases the network throughput 50% more as the number of arrival rate is increased.
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Blakeway, Stewart John. "An investigation of mobile ad-hoc network performance with cognitive attributes applied." Thesis, Liverpool John Moores University, 2015. http://researchonline.ljmu.ac.uk/4336/.

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Mobile Ad-Hoc Networks (MANETs) are known for their versatility, which is they are capable of supporting many applications. In addition to this versatility MANETs are quick to deploy without need for an existing predefined communications infrastructure. However, although the lack of infrastructure allows for the quick deployment of the data communications network, it adds many factors that hinder packet delivery. Such hindrances occur because of the dynamic topology caused by the mobility of the nodes which results in link breakages. Routing protocols exist that attempt to refresh available routes; however, this is after link breakages have occurred. The nodes also usually have constrained resources (i.e. energy source and limited bandwidth). This thesis presents a novel approach of network behaviour and management by implementing cognitive attributes into a MANET environment. This allows an application to better meet its mission objectives, decreases the end-to-end delay, and increases packet delivery ratio. The network is able to make observations, consider previous actions and consequences of the actions, and make changes based on the prior knowledge and experience. This work also shows how the network can better utilise limited resources such as bandwidth allocation by applying cognitive attributes. Simulations conducted show promising results and prove that an increase in network performance is possible if adopting a cross-layered approach and allow the network to manage and to ‘think’ for itself. Various simulations were run with various scenarios and results are presented without cognition applied, with partial cognition applied and with full cognition applied. A total of 52 simulations were run and from this the results were compared and contrasted. The analysis shows that cognitive attributes does increase network performance in the majority of applications.
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Ramrekha, Tipu Arvind. "Cognitive and adaptive routing framework for mobile ad-hoc networks." Thesis, Kingston University, 2012. http://eprints.kingston.ac.uk/22795/.

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In this thesis, we investigate the field of distributed multi-hopped routing in Mobile Ad Hoc Networks (MANETs). MANETs are suitable for autonomous communication in remote areas lacking infrastructures or in situations where destruction of existing infrastructures prevail. One such important communication service domain is in the field of Public Protection and Disaster Relief (PPDR) services where rescuers require high bandwidth mobile communications in an ad hoc fashion. The main objectives of this thesis is to investigate and propose a realistic framework for cognitive MANET routing that is able to adapt itself to the requirements of users while being constrained by the topological state. We propose to investigate the main proactive and reactive emerging standard MANET routing protocols at the Internet Engineering Task Force (IETF) and extend their functionalities to form a cognitive and adaptive routing approach. We thus propose a cognitive and adaptive routing framework that is better suited for diverse MANET scenarios than state-of-the art protocols mainly in terms of scalability. We also design our approach based on realistic assumptions and suitability for modern Android and iOS devices. In summary, we introduce the area of MANET routing and the state of the art in the field focussing on scalable routing approaches, derive QoS routing models for variable sized MANETs and validate these models using event based ns-2 simulations and analyse the scalable performance of current approaches. As a result we present and evaluate our novel converged cognitive and adaptive routing protocol called ChaMeLeon (CML) for PPDR scenarios. A realistic "Cognitive and Adaptive Module" is then presented that has been implemented in modern smart devices. Finally, we end the thesis with our conclusions and avenues for future work in the field.
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Rehmani, Mubashir Husain. "Opportunistic Data Dissemination in Ad-Hoc Cognitive Radio Networks." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2011. http://tel.archives-ouvertes.fr/tel-00630214.

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Les progrès récents des technologies de communication et la prolifération de l'informatique sans fil et des dispositifs de communication, ont induit 'a une surcharge dans l'utilisation du spectre radio. Cependant, les expériences de la Commission Fédérale de Communication (FCC) ont révélé que l'utilisation du spectre varie entre 15% et 85%. Par conséquent, les réseaux radios cognitifs (Cognitive Radio Networks ou CRNs) sont proposés afin d'utiliser le spectre radio d'une manière opportuniste. Dans ce type de réseaux radios cognitifs, où les fréquences de transmission sont sélectionnées d'une manière opportuniste - également sont appelés réseaux Ad-Hoc à radios cognitives -, la fiabilité de la dissémination des données est difficile 'a réaliser. D'abord, en plus des défis déjà connus dans les environnements sans fils, la diversité dans le nombre de fréquences qu'un noeud à radio cognitif a droit d'utiliser ajoute un autre défi, en limitant l'accessibilité à ses noeuds voisins. Deuxièmement, les noeuds à radio cognitif (CR) doivent conquérir les ressources de fréquences résiduelles avec les noeuds à radio primaire (PR), tout en essayent de les exploiter d'une manière opportuniste. En outre, les noeuds CR ne devraient pas perturber la qualité de réception des noeuds PR durant leur communication, et ce en limitant les interférences entre les deux de noeuds. Par conséquent, une nouvelle méthode de sélection de fréquences est requise afin de réduire le nombre d'interférences nuisibles aux noeuds PR, et maximiser les chances de délivrance des messages aux voisins récepteurs des noeuds CR, et augmenter ainsi la fiabilité des données disséminées. Dans cette thèse nous proposons SURF, une nouvelle méthode distribuée de sélection de fréquences pour la dissémination fiable de données dans un réseau radio cognitif multi-sauts. SURF classifie les fréquences radio disponibles en fonction de l'occupation des fréquences des noeuds à radio primaire et le nombre de noeuds 'a radio cognitive utilisant ces fréquences. Les résultats de simulation obtenus par NS-2 confirment que SURF est une stratégie efficace dans la sélection des meilleures fréquences de diffusion de données, comparée aux autres approches liées. Nous avons aussi constaté que les stratégies de sélection de fréquences sont considérablement influencées par l'activité des noeuds 'a radio primaire. Dans la suite ce cette thèse, nous étudierons et analyserons l'impact des modèles d'activités des noeuds PR sur les différentes stratégies de sélection de fréquences à travers des simulations basées NS-2. Nous avons remarqué que l'activité intermittente de PR est le cas où les solutions intelligentes doivent opérées. C'est dans ce cas où SURF donne les meilleures résultats et la région ciblée se serve des opportunités de communication. Enfin, dans cette thèse, nous allons encore plus loin en vérifiant l'applicabilité et la faisabilité de SURF. Dans cette perspective, d'abord, nous proposons une architecture d'accès à internet basse sur la radio cognitive pour les réseaux partiellement endommagés. Nous discutons les détails architecturaux et le principe de fonctionnement de l'architecture proposée. Nous avons également passé en revue les enjeux et les défis de déploiement de cette nouvelle architecture. Deuxièmement, nous discutons l'applicabilité de SURF dans le contexte de l'agrégation de fréquences et à cet égard, nous discutons une stratégie d'interférence basée sur l'agrégation de fréquences pour les réseaux radios cognitifs.
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Rehmani, Mubashir Husain. "Opportunistic data dissemination in ad-hoc cognitive radio networks." Phd thesis, Paris 6, 2011. http://www.theses.fr/2011PA066566.

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Les progrès récents des technologies de communication et la prolifération de l’informatique sans fil et des dispositifs de communication, ont induit à une surcharge dans l’utilisation du spectre radio. Cependant, les expériences de la Commission Fédérale de Communication (FCC) ont révélé que l’utilisation du spectre varie entre 15% et 85%. Par conséquent, les réseaux radios cognitifs (Cognitive Radio Networks ou CRNs) sont proposés afin d’utiliser le spectre radio d’une manière opportuniste. Dans ce type de réseaux radios cognitifs, où les fréquences de transmission sont sélectionnées d’une manière opportuniste - également sont appelés réseaux Ad-Hoc à radios cognitives -, la fiabilité de la dissémination des données est difficile à réaliser. D’abord, en plus des défis déjà connus dans les environnements sans fils, la diversité dans le nombre de fréquences qu’un noeud à radio cognitif a droit d’utiliser ajoute un autre défi, en limitant l’accessibilité à ses noeuds voisins. Deuxièmement, les noeuds à radio cognitif (CR) doivent conquérir les ressources de fréquences résiduelles avec les noeuds à radio primaire (PR), tout en essayent de les exploiter d’une manière opportuniste. En outre, les noeuds CR ne devraient pas perturber la qualité de réception des noeuds PR durant leur communication, et ce en limitant les interférences entre les deux de noeuds. Par conséquent, une nouvelle méthode de sélection de fréquences est requise afin de réduire le nombre d’interférences nuisibles aux noeuds PR, et maximiser les chances de délivrance des messages aux voisins récepteurs des noeuds CR, et augmenter ainsi la fiabilité des données disséminées. Dans cette thèse nous proposons SURF, une nouvelle méthode distribuée de sélection de fréquences pour la dissémination fiable de données dans un réseau radio cognitif multi-sauts. SURF classifie les fréquences radio disponibles en fonction de l’occupation des fréquences des noeuds à radio primaire et le nombre de noeuds à radio cognitive utilisant ces fréquences. Les résultats de simulation obtenus par NS-2 confirment que SURF est une stratégie efficace dans la sélection des meilleures fréquences de diffusion de données, comparée aux autres approches liées. Nous avons aussi constaté que les stratégies de sélection de fréquences sont considérablement influencées par l’activité des noeuds à radio primaire. Dans la suite ce cette thèse, nous étudierons et analyserons l’impact des modèles d’activités des noeuds PR sur les différentes stratégies de sélection de fréquences à travers des simulations basées NS-2. Nous avons remarqué que l’activité intermittente de PR est le cas où les solutions intelligentes doivent opérées. C’est dans ce cas où SURF donne les meilleures résultats et la région ciblée se serve des opportunités de communication. Enfin, dans cette thèse, nous allons encore plus loin en vérifiant l’applicabilité et la faisabilité de SURF. Dans cette perspective, d’abord, nous proposons une architecture d’accès à internet basée sur la radio cognitive pour les réseaux partiellement endommagés. Nous discutons les détails architecturaux et le principe de fonctionnement de l’architecture proposée. Nous avons également passé en revue les enjeux et les défis de déploiement de cette nouvelle architecture. Deuxièmement, nous discutons l’applicabilité de SURF dans le contexte de l’agrégation de fréquences et à cet égard, nous discutons une stratégie d’interférence basée sur l’agrégation de fréquences pour les réseaux radios cognitifs.
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Lent, Marino Ricardo. "On the design and performance of cognitive packets over wired networks and mobile ad hoc networks." Doctoral diss., University of Central Florida, 2003. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/3553.

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University of Central Florida College of Engineering Thesis<br>This dissertation studied cognitive packet networks (CPN) which build networked learning systems that support adaptive, quality of service-driven routing of packets in wired networks and in wireless, mobile ad hoc networks.<br>Ph.D.<br>School of Electrical Engineering and Computer Science<br>Engineering and Computer Science<br>Electrical Engineering and Computer Science<br>160 p.<br>xvii, 160 leaves, bound : ill. ; 28 cm.
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Friend, Daniel. "Cognitive Networks: Foundations to Applications." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26449.

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Fueled by the rapid advancement in digital and wireless technologies, the ever-increasing capabilities of wireless devices have placed upon us a tremendous challenge - how to put all of this capability to effective use. Individually, wireless devices have outpaced the ability of users to optimally configure them. Collectively, the complexity is far more daunting. Research in cognitive networks seeks to provide a solution to the diffculty of effectively using the expanding capabilities of wireless networks by embedding greater degrees of intelligence within the network itself. In this dissertation, we address some fundamental questions related to cognitive networks, such as "What is a cognitive network?" and "What methods may be used to design a cognitive network?" We relate cognitive networks to a common artificial intelligence (AI) framework, the multi-agent system (MAS). We also discuss the key elements of learning and reasoning, with the ability to learn being the primary differentiator for a cognitive network. Having discussed some of the fundamentals, we proceed to further illustrate the cognitive networking principle by applying it to two problems: multichannel topology control for dynamic spectrum access (DSA) and routing in a mobile ad hoc network (MANET). The multichannel topology control problem involves confguring secondary network parameters to minimize the probability that the secondary network will cause an outage to a primary user in the future. This requires the secondary network to estimate an outage potential map, essentially a spatial map of predicted primary user density, which must be learned using prior observations of spectral occupancy made by secondary nodes. Due to the complexity of the objective function, we provide a suboptimal heuristic and compare its performance against heuristics targeting power-based and interference-based topology control objectives. We also develop a genetic algorithm to provide reference solutions since obtaining optimal solutions is impractical. We show how our approach to this problem qualifies as a cognitive network. In presenting our second application, we address the role of network state observations in cognitive networking. Essentially, we need a way to quantify how much information is needed regarding the state of the network to achieve a desired level of performance. This question is applicable to networking in general, but becomes increasingly important in the cognitive network context because of the potential volume of information that may be desired for decision-making. In this case, the application is routing in MANETs. Current MANET routing protocols are largely adapted from routing algorithms developed for wired networks. Although optimal routing in wired networks is grounded in dynamic programming, the critical assumption, static link costs and states, that enables the use of dynamic programming for wired networks need not apply to MANETs. We present a link-level model of a MANET, which models the network as a stochastically varying graph that possesses the Markov property. We present the Markov decision process as the appropriate framework for computing optimal routing policies for such networks. We then proceed to analyze the relationship between optimal policy and link state information as a function of minimum distance from the forwarding node. The applications that we focus on are quite different, both in their models as well as their objectives. This difference is intentional and signficant because it disassociates the technology, i.e. cognitive networks, from the application of the technology. As a consequence, the versatility of the cognitive networks concept is demonstrated. Simultaneously, we are able to address two open problems and provide useful results, as well as new perspective, on both multichannel topology control and MANET routing. This material is posted here with permission from the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Virginia Tech library's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this material, you agree to all provisions of the copyright laws protecting it.<br>Ph. D.
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9

Sun, Xusheng. "Optimal distributed detection and estimation in static and mobile wireless sensor networks." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44825.

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This dissertation develops optimal algorithms for distributed detection and estimation in static and mobile sensor networks. In distributed detection or estimation scenarios in clustered wireless sensor networks, sensor motes observe their local environment, make decisions or quantize these observations into local estimates of finite length, and send/relay them to a Cluster-Head (CH). For event detection tasks that are subject to both measurement errors and communication errors, we develop an algorithm that combines a Maximum a Posteriori (MAP) approach for local and global decisions with low-complexity channel codes and processing algorithms. For event estimation tasks that are subject to measurement errors, quantization errors and communication errors, we develop an algorithm that uses dithered quantization and channel compensation to ensure that each mote's local estimate received by the CH is unbiased and then lets the CH fuse these estimates into a global one using a Best Linear Unbiased Estimator (BLUE). We then determine both the minimum energy required for the network to produce an estimate with a prescribed error variance and show how this energy must be allocated amongst the motes in the network. In mobile wireless sensor networks, the mobility model governing each node will affect the detection accuracy at the CH and the energy consumption to achieve this level of accuracy. Correlated Random Walks (CRWs) have been proposed as mobility models that accounts for time dependency, geographical restrictions and nonzero drift. Hence, the solution to the continuous-time, 1-D, finite state space CRW is provided and its statistical behavior is studied both analytically and numerically. The impact of the motion of sensor on the network's performance is also studied.
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Biswas, Kamanashis, and Md Liakat Ali. "Security Threats in Mobile Ad Hoc Network." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5926.

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Mobile Ad Hoc Network (MANET) is a collection of communication devices or nodes that wish to communicate without any fixed infrastructure and pre-determined organization of available links. The nodes in MANET themselves are responsible for dynamically discovering other nodes to communicate. Although the ongoing trend is to adopt ad hoc networks for commercial uses due to their certain unique properties, the main challenge is the vulnerability to security attacks. A number of challenges like open peer-to-peer network architecture, stringent resource constraints, shared wireless medium, dynamic network topology etc. are posed in MANET. As MANET is quickly spreading for the property of its capability in forming temporary network without the aid of any established infrastructure or centralized administration, security challenges has become a primary concern to provide secure communication. In this thesis, we identify the existent security threats an ad hoc network faces, the security services required to be achieved and the countermeasures for attacks in each layer. To accomplish our goal, we have done literature survey in gathering information related to various types of attacks and solutions, as well as we have made comparative study to address the threats in different layers. Finally, we have identified the challenges and proposed solutions to overcome them. In our study, we have found that necessity of secure routing protocol is still a burning question. There is no general algorithm that suits well against the most commonly known attacks such as wormhole, rushing attack etc. In conclusion, we focus on the findings and future works which may be interesting for the researchers like robust key management, trust based systems, data security in different layer etc. However, in short, we can say that the complete security solution requires the prevention, detection and reaction mechanisms applied in MANET.
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Books on the topic "Cognitive mobile ad-hoc network"

1

Yu, F. Richard, ed. Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3.

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Yu, F. Richard. Cognitive radio mobile ad hoc networks. Edited by Tang Helen. Springer, 2011.

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Meghanathan, Natarajan, and Yenumula B. Reddy. Cognitive radio technology applications for wireless and mobile ad hoc networks. Information Science Reference, 2013.

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Cichoń, Jacek, Maciej Gȩbala, and Marek Klonowski, eds. Ad-hoc, Mobile, and Wireless Network. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39247-4.

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Chadha, Ritu, and Latha Kant. Policy-Driven Mobile Ad hoc Network Management. John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470227718.

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Günes, M., D. G. Reina, J. M. Garcia Campos, and S. L. Toral. Mobile Ad Hoc Network Protocols Based on Dissimilarity Metrics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62740-3.

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Karppinen, Kaarina. Security measurement based on attack trees in a mobile ad hoc network environment. VTT Technical Research Centre of Finland, 2005.

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Ding, Wei. Synergy of peer-to-peer networks and mobile ad-hoc networks: Boot strapping and routing. Nova Science, 2010.

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Ding, Wei. Synergy of peer-to-peer networks and mobile ad-hoc networks: Boot strapping and routing. Nova Science, 2009.

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Cichoń, Jacek. Ad-hoc, Mobile, and Wireless Network: 12th International Conference, ADHOC-NOW 2013, Wrocław, Poland, July 8-10, 2013. Proceedings. Springer Berlin Heidelberg, 2013.

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Book chapters on the topic "Cognitive mobile ad-hoc network"

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Di Felice, Marco, Kaushik Roy Chowdhury, and Luciano Bononi. "Cognitive Radio Vehicular Ad Hoc Networks: Design, Implementation, and Future Challenges." In Mobile Ad Hoc Networking. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118511305.ch18.

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Yang, Yaling, Chuan Han, and Bo Gao. "Delay in Cognitive Radio Networks." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_10.

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Maharjan, Sabita, Yan Zhang, and Stein Gjessing. "Economic Approaches in Cognitive Radio Networks." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_16.

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Macaluso, Irene, Timothy K. Forde, Oliver Holland, and Keith E. Nolan. "Environment–Mobility Interaction Mapping for Cognitive MANETs." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_3.

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Yu, F. Richard, Helen Tang, Minyi Huang, Peter Mason, and Zhiqiang Li. "Distributed Consensus-Based Cooperative Spectrum Sensing in Cognitive Radio Mobile Ad Hoc Networks." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_1.

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Luo, Haiyan, Song Ci, Dalei Wu, Zhiyong Feng, and Hui Tang. "Real-Time Multimedia Transmission over Cognitive Radio Networks." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_11.

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Niyato, Dusit, Ekram Hossain, and Teerawat Issariyakul. "An Adaptive WiFi/WiMAX Networking Platform for Cognitive Vehicular Networks." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_12.

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Dong, Ziqian, Shamik Sengupta, S. Anand, Kai Hong, Rajarathnam Chandramouli, and K. P. Subbalakshmi. "Cognitive Radio Mobile Ad Hoc Networks in Healthcare." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_13.

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Cabral, Orlando, João M. Ferro, and Fernando J. Velez. "Interoperability Between IEEE 802.11e and HSDPA: Challenges from Cognitive Radio." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_14.

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Tamma, Bheemarjuna Reddy, B. S. Manoj, and Ramesh Rao. "An Autonomous Access Point for Cognitive Wireless Networks." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_15.

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Conference papers on the topic "Cognitive mobile ad-hoc network"

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Geng, Lijuan, Ying-Chang Liang, and Francois Chin. "Network Coding for Wireless Ad Hoc Cognitive Radio Networks." In 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2007. http://dx.doi.org/10.1109/pimrc.2007.4394568.

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Trotta, Angelo, Marco Di Felice, Luca Bedogni, and Luciano Bononi. "Re-establishing network connectivity in post-disaster scenarios through mobile cognitive radio networks." In 2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET). IEEE, 2013. http://dx.doi.org/10.1109/medhocnet.2013.6767405.

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Ghandour, Ali, Kassem Fawaz, and Hassan Artail. "Fuzzy cognitive Vehicular Ad hoc Networks." In 2011 IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2011. http://dx.doi.org/10.1109/wimob.2011.6085342.

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Ali, Amjad, Huiqiang Wang, and Guangsheng Feng. "Cognitive routing system for mobile ad hoc networks." In 2011 International Conference on Graphic and Image Processing. SPIE, 2011. http://dx.doi.org/10.1117/12.913412.

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Lam To, Ba, Thi Mai Trang Nguyen, and Guy Pujolle. "Flow-based power control in Cognitive Radio ad-hoc Network." In 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC 2012). IEEE, 2012. http://dx.doi.org/10.1109/iwcmc.2012.6314190.

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Yong, Yu, Wang Lifeng, and Yu Quan. "Cross-Layer Architecture in Cognitive Ad Hoc Networks." In 2009 WRI International Conference on Communications and Mobile Computing (CMC). IEEE, 2009. http://dx.doi.org/10.1109/cmc.2009.142.

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Chantaraskul, S., and K. Moessner. "Opportunistic spectrum allocation in mobile ad hoc networks." In IET Seminar on Cognitive Radio and Software Defined Radio: Technologies and Techniques. IEE, 2008. http://dx.doi.org/10.1049/ic:20080392.

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Ju, Suyang, and Joseph B. Evans. "Scalable Cognitive Routing Protocol for Mobile Ad-Hoc Networks." In GLOBECOM 2010 - 2010 IEEE Global Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/glocom.2010.5683660.

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Kim, Wooseong, Soon Y. Oh, Mario Gerla, and Joon-Sang Park. "COCAST: Multicast mobile ad hoc networks using cognitive radio." In MILCOM 2009 - 2009 IEEE Military Communications Conference. IEEE, 2009. http://dx.doi.org/10.1109/milcom.2009.5379883.

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Irio, Luis, and Rodolfo Oliveira. "Sensing capacity of Cognitive Radio Mobile Ad Hoc Networks." In 2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2015. http://dx.doi.org/10.1109/wcnc.2015.7127730.

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Reports on the topic "Cognitive mobile ad-hoc network"

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Clausen, T., C. Dearlove, J. Dean, and C. Adjih. Generalized Mobile Ad Hoc Network (MANET) Packet/Message Format. RFC Editor, 2009. http://dx.doi.org/10.17487/rfc5444.

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Chakeres, I. IANA Allocations for Mobile Ad Hoc Network (MANET) Protocols. RFC Editor, 2009. http://dx.doi.org/10.17487/rfc5498.

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Clausen, T., C. Dearlove, and J. Dean. Mobile Ad Hoc Network (MANET) Neighborhood Discovery Protocol (NHDP). RFC Editor, 2011. http://dx.doi.org/10.17487/rfc6130.

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Fitzgibbons, Patrick W., Digen Das, and Larry J. Hash. Constraints and Approaches for Distributed Mobile AD-HOC Network Security. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada442043.

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Nguyen, Binh Q. A Tool for Visualizing Mobile Ad-Hoc Network Topology Definitions Files. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada444158.

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Dearlove, C. Identity-Based Signatures for Mobile Ad Hoc Network (MANET) Routing Protocols. RFC Editor, 2016. http://dx.doi.org/10.17487/rfc7859.

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Joneckis, Lance, Corinne Kramer, David Sparrow, and David Tate. Network Size and Connectivity in Mobile and Stationary Ad Hoc Networks. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada618314.

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Peacock, Brent A. Connecting the Edge: Mobile Ad-Hoc Networks (MANETs) for Network Centric Warfare. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada497761.

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Shires, Dale, Kenneth Renard, and Brian Henz. A Discussion of Metrics for Parallelized Army Mobile ad hoc Network Simulations. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada552013.

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Acosta, Jaime C., and Yadira Jacquez. An Analysis Platform for Mobile Ad Hoc Network (MANET) Scenario Execution Log Data. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1001060.

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