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1

Sándor, Hunor, Piroska Haller, and Zoltán Gál. "Performance Analysis of Wireless Sensor Networks." Procedia Technology 19 (2015): 842–49. http://dx.doi.org/10.1016/j.protcy.2015.02.121.

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Samundiswary, P., and Sivasindhu M. "Performance analysis of integrated WLAN-WiMAX-UMTS networks for multimedia applications." International Journal of Engineering & Technology 7, no. 3.29 (2018): 214. http://dx.doi.org/10.14419/ijet.v7i3.29.18798.

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Next Generation Wireless networks (NGWN) are the integration of different types of available wireless networks. These integrated networks will provide seamless connectivity for multimedia user applications. Among various wireless networks, the networks such as Wireless Local Area network (WLAN), Worldwide Interoperability for Microwave Access (WiMAX) and Universal Mobile Telecommunications System (UMTS) have their own unique characteristics and support for wide range of multimedia user applications. So, the integration of these networks and their performance analysis in respect of Quality of Service (QoS) is a major concern nowadays. Hence, this paper deals with the integration of WLAN, WiMAX and UMTS networks by considering QoS parameter. Further, the integration of these networks are analyzed with loose coupling and tight coupling architecture along with and without QoS. Furthermore, the performance analysis of the above mentioned integrated network for multimedia applications is also done. The simulation is performed through Opnet simulator.
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Kumar, Mahendra, and A. K. Jain. "Comparative Performance Analysis of Different Routing Protocols in Wireless Ad-hoc networks (IEEE 802.11)." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 8, no. 3 (2018): 874–86. http://dx.doi.org/10.24297/ijct.v8i3.3398.

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Wireless Ad-hoc networks have lack of mass deployment. An Ad hoc wireless network has a dynamic nature that leads to constant changes in its network topology. There is an infrastructure less and decentralized network which need a robust dynamic routing protocol. This article presents performance comparison of wireless Ad-hoc network on different routing protocols. Network simulator QualNet 5.0.2 has been used to evaluate the performance of wireless networks with various routing protocols.
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Durachman, Yusuf. "Analysis of Learning Techniques for Performance Prediction in Mobile Adhoc Networks." International Innovative Research Journal of Engineering and Technology 6, no. 2 (2020): IS—46—IS—53. http://dx.doi.org/10.32595/iirjet.org/v6i2.2020.141.

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Current advancements in cellular technologies and computing have provided the basis for the unparalleled exponential development of mobile networking and software availability and quality combined with multiple systems or network software. Using wireless technologies and mobile ad-hoc networks, such systems and technology interact and collect information. To achieve the Quality of Service (QoS) criteria, the growing concern in wireless network performance and the availability of mobile users would support a significant rise in wireless applications. Predicting the mobility of wireless users and systems performs an important role in the effective strategic decision making of wireless network bandwidth service providers. Furthermore, related to the defect-proneness, self-organization, and mobility aspect of such networks, new architecture problems occur. This paper proposes to predict and simulate the mobility of specific nodes on a mobile ad-hoc network, gradient boosting devices defined for the system will help. The proposed model not just to outperform previous mobility prediction models using simulated and real-world mobility instances, but provides better predictive accuracy by an enormous margin. The accuracy obtained helps the suggested mobility indicator in Mobile Adhoc Networks to increase the average level of performance.
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Natarajan, Krishnaraj. "ANALYSIS OF ROUTING PROTOCOLS IN FLYING WIRELESS NETWORKS." IRO Journal on Sustainable Wireless Systems 01, no. 03 (2019): 148–60. http://dx.doi.org/10.36548/jsws.2019.3.002.

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The wireless network that are formed on the fly, without relying on the previous infrastructure, including the autonomous devices that lie nearby are called the flying wireless networks. Despite of the networks, self-configuring and self-healing nature, it incurs many challenges due to its mobile nature, limited battery span and the lack of the centralized control, so these wireless network requires a perfect routing protocol addressing the challenges and improving the performance of the network, so the paper presents the survey on the various routing protocols that enhances the performance of the flying wireless network. The survey is further continued with the analysis of the routing protocols to evince the capability of the same on the grounds of network life time, energy consumption and the quality of service.
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Furtado, Antonio, Rodolfo Oliveira, Luis Bernardo, and Rui Dinis. "Performance Analysis of Interference-Aware Multi-Packet Reception Networks." Electronics 9, no. 4 (2020): 665. http://dx.doi.org/10.3390/electronics9040665.

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Decentralized wireless networks are gaining increasing popularity as they do not need a fixed infrastructure. Simultaneously, multiple research initiatives have led to different findings at the PHY layer of the wireless communication systems, which include Multi-Packet Reception (MPR) techniques that enable a receiver to decode multiple packets that are transmitted simultaneously. However, the distributed nature of decentralized wireless networks demands different network control policies that should take into account the MPR capabilities to increase the network performance. This work studies the performance of a wireless network composed of multiple transmitters that are willing to transmit to a single receiver. This receiver has MPR capability and adopts an Energy-based Sensing (EBS) technique to enable uplink users’ transmissions without interfering with the ongoing transmissions from other transmitters. The first remark to be made is that the MPR technique performance depends on the channel propagation conditions and on the amount of time the receiver needs to detect the spectrum’s occupancy state. However, it is shown that by increasing the number of samples needed to increase the sensing accuracy, the receiver may degrade its throughput, namely if the receiver is equipped with a single radio, that is sequentially used for sensing and transmitting (split-phase operation). The results presented in the paper show the impact of the channel propagation condition and EBS parameterization on wireless network throughput and the cases where the receiver MPR capture performance is greatly improved by the use of a spectrum sensing technique.
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7

Lenin, R. B., and S. Ramaswamy. "Performance analysis of wireless sensor networks using queuing networks." Annals of Operations Research 233, no. 1 (2013): 237–61. http://dx.doi.org/10.1007/s10479-013-1503-4.

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8

Tian, Qi Ming, and Hao Yu Meng. "Analysis and Comparison of Routing Metrics for Multi-Interface Wireless Mesh Networks." Advanced Materials Research 268-270 (July 2011): 1856–61. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1856.

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The development of wireless broadband access in multimedia field has a higher requirement on wireless mesh networks’ performance. The design of routing metric is the key to improve the performance of wireless mesh networks. How to make full use of multi-interface technology in routing metric design to improve the network capacity has become a research focus. This article first analyzes the requirements of multi-interface wireless mesh networks on routing metric design, then analyzes strengths and weaknesses of nine routing metrics applied in wireless mesh networks currently, and finally compares the conditions of nine routing metrics capturing different performance indicators of wireless networks. As routing metrics like WCETT, MIC, WCETT-LB, IAWARE, ILA, MI and IDA all take channel interference problems into account, they are more suitable for multi-interface wireless mesh networks.
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Lin, Xingqin, Libin Jiang, and Jeffrey G. Andrews. "Performance Analysis of Asynchronous Multicarrier Wireless Networks." IEEE Transactions on Communications 63, no. 9 (2015): 3377–90. http://dx.doi.org/10.1109/tcomm.2015.2450215.

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Ai, Yun, Michael Cheffena, Tomoaki Ohtsuki, and He Zhuang. "Secrecy Performance Analysis of Wireless Sensor Networks." IEEE Sensors Letters 3, no. 5 (2019): 1–4. http://dx.doi.org/10.1109/lsens.2019.2909323.

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Wenxing, Liao, Wu Muqing, Zhao Min, Li Peizhe, and Li Tianze. "Hop count limitation analysis in wireless multi-hop networks." International Journal of Distributed Sensor Networks 13, no. 1 (2017): 155014771668360. http://dx.doi.org/10.1177/1550147716683606.

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Recent studies about wireless multi-hop networks mainly focus on two aspects, network performance and network strategy. A mass of models and algorithms about network connectivity, path reliability, and node mobility have been proposed to improve network performance. However, hop count, an important factor of wireless multi-hop networks, is rarely researched. In this article, we propose some feasible research methods to figure out the connections between hop count and network connectivity, and path reliability and node mobility, respectively. By modeling the network connectivity, path reliability, and node mobility, we get the maximum hop count of arbitrary wireless multi-hop network. This study shows that the hop count limitation has great effect on network stability. With an increase in hop count, the network stability gets worse. Thinking about this situation, we propose some feasible advices to avoid the hop count limitation problem, which may provide some useful theoretical foundation for further study on wireless multi-hop networks.
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Tan, Qing, and Xiao Jing Yue. "Comparative Performance Analysis of Flat and Hierarchical Routing in Wireless Sensor Network." Applied Mechanics and Materials 685 (October 2014): 587–90. http://dx.doi.org/10.4028/www.scientific.net/amm.685.587.

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Wireless sensor network is composed of a set of sensors in a wireless network of self-organized. Research on topological structure of wireless sensor network is focused in two directions, namely plane topology structure and hierarchical topology structure. This paper gives a detailed analysis of wireless sensor networks in the flat routing protocols and hierarchical routing protocols, and compares the advantages and disadvantages of the performance of two kinds of protocol by simulation experiment.
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Shabbir, A., H. R. Khan, S. A. Ali, and S. Rizvi. "Design and Performance Analysis of Multi-tier Heterogeneous Network through Coverage, Throughput and Energy Efficiency." Engineering, Technology & Applied Science Research 7, no. 6 (2017): 2345–50. http://dx.doi.org/10.48084/etasr.1256.

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The unprecedented acceleration in wireless industry strongly compels wireless operators to increase their data network throughput, capacity and coverage on emergent basis. In upcoming 5G heterogeneous networks inclusion of low power nodes (LPNs) like pico cells and femto cells for increasing network’s throughput, capacity and coverage are getting momentum. Addition of LPNs in such a massive level will eventually make a network populated in terms of base stations (BSs).The dense deployments of BSs will leads towards high operating expenditures (Op-Ex), capital expenditure (Cap-Ex) and most importantly high energy consumption in future generation networks. Recognizing theses networks issues this research work investigates data throughput and energy efficiency of 5G multi-tier heterogeneous network. The network is modeled using tools from stochastic geometry. Monte Carlo results confirmed that rational deployment of LPNs can contribute towards increased throughput along with better energy efficiency of overall network.
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14

Ramya, E., and R. Gobinath. "Performance metrics in wireless sensor networks :a survey and outlook." International Journal of Engineering & Technology 7, no. 2.26 (2018): 25. http://dx.doi.org/10.14419/ijet.v7i2.26.12527.

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Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a challenging issue in Wireless Sensor Networks. In this paper, we review the quality of service parameters with respect to protocols, algorithms and Simulations.
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15

Assegie, Tsehay Admassu, and Pramod Sekharan Nair. "The performance of Gauss Markov’s mobility model in emulated software defined wireless mesh network." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (2020): 428. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp428-433.

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Wireless mesh networks (WMNs) are a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area networks (WLANs).Test bed analysis and emulation plays an important role in evaluation of wireless networks and node mobility is the prominent feature of next generation wireless network. In this paper we will focus on the models of wireless station mobility and discuss their importance within the software defined wireless mesh network performance evaluation. The existing mobility models for the next generation software defined wireless network will be explored. Finlay, we will present the mobility models in the mininet-Wi-Fi test bed, and evaluate the performance of the models
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16

Bhattacharya, Partha Pratim, and Neha Rathi. "Performance Analysis of Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 6, no. 3 (2013): 379–99. http://dx.doi.org/10.24297/ijct.v6i3.4462.

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While wireless sensor networks are increasingly equipped to handle more complicated functions, these battery poweredsensors which used in network processing, use their constrained energy to enhance the lifetime of the network especially in a heterogeneous settings. Clustered techniques have since been employed to optimize energy consumption in this energy constrained wireless sensor networks. In Classical clustering protocols, equal energy is assigned to all nodes andthey cannot take full benefit of the presence of node heterogeneity. SEP, a heterogeneous-aware protocol is used to prolong the time interval before the death of the first node which is crucial for many applications where the feedback fromthe sensor network must be reliable. The performance of SEP in comparison to LEACH Protocol is analyzed in this paperwhose goal is to increase the stable region and as a result decrease the unstable region and improve the quality of thefeedback of wireless sensor network, in presence of heterogeneous nodes.
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17

Vu, Thang X., Symeon Chatzinotas, and Bjorn Ottersten. "Edge-Caching Wireless Networks: Performance Analysis and Optimization." IEEE Transactions on Wireless Communications 17, no. 4 (2018): 2827–39. http://dx.doi.org/10.1109/twc.2018.2803816.

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18

Ping-Cheng Yeh, W. E. Stark, and S. A. Zummo. "Performance Analysis of Wireless Networks With Directional Antennas." IEEE Transactions on Vehicular Technology 57, no. 5 (2008): 3187–99. http://dx.doi.org/10.1109/tvt.2008.917223.

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19

Lim, J. T., and S. M. Meerkov. "Performance analysis of multi-hop wireless packet networks." Mathematical Problems in Engineering 3, no. 1 (1996): 53–74. http://dx.doi.org/10.1155/s1024123x97000483.

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In this paper, a unified analytical framework for performance analysis of multi-hop wireless packet networks is developed. The effect of coupling between the hops on the degradation of the delay-throughput characteristics and the probability of blocking is investigated. The issue of hop decoupling is addressed.
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20

Abrar, Muhammad, Xiang Gui, and Amal Punchihewa. "Two-Way Relaying Cooperative Wireless Networks: Resource Allocation and Performance Analysis." International Journal of Electronics and Telecommunications 59, no. 3 (2013): 229–35. http://dx.doi.org/10.2478/eletel-2013-0027.

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Abstract Relay-based cooperative wireless networks have been widely considered one of the cost-effective solutions to meet the demands in future wireless networks. In order to maximize the overall sum-rate while maintaining proportional fairness among users, we investigate different resource allocation algorithms in two-way relay networks with analog network coding (ANC) protocol and time division broadcast (TDBC) protocol. The algorithms investigated are different from traditional proportional fairness schemes in terms of fairness and computational complexity as we have applied Access Proportional Fairness (APF) and Minimum Rate Proportional Fairness (MRPF) along with load balancing at the relays. A MATLAB simulation has been performed and simulation results show the effectiveness of these algorithms.
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Lee, Kyu-Hwan, Jae-Hyun Kim, and Sung-Hyun Cho. "A Performance Analysis of Random Linear Network Coding in Wireless Networks." Journal of Korea Information and Communications Society 36, no. 10A (2011): 830–38. http://dx.doi.org/10.7840/kics.2011.36a.10.830.

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22

Cong Peng, Qian Zhang, Ming Zhao, Yan Yao, and Weijia Jia. "On the Performance Analysis of Network-Coded Cooperation in Wireless Networks." IEEE Transactions on Wireless Communications 7, no. 8 (2008): 3090–97. http://dx.doi.org/10.1109/twc.2008.061111.

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23

Xie, Ling Fu, Peter Han Joo Chong, and Yong Liang Guan. "Performance Analysis of Network Coding With Virtual Overhearing in Wireless Networks." IEEE Transactions on Vehicular Technology 64, no. 5 (2015): 2051–61. http://dx.doi.org/10.1109/tvt.2014.2339216.

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24

Sooki, Peter, and Akos Korosi. "Simulation-Based Performance Analysis Of Wireless Routing Protocols For Smart Metering Applications." European Scientific Journal, ESJ 12, no. 9 (2016): 1. http://dx.doi.org/10.19044/esj.2016.v12n9p1.

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There is a growing interest for smart metering applications in wireless environment recently. Wireless smart meter devices are easy to use solutions for recording energy consumption and report back the amount to the utility on a daily basis. This kind of usage of smart meter devices can be considered as a special subset of wireless sensor networks (WSN). The communication protocol used in smart meter networks has to be fast, reliable and secure. The challenge in developing such a protocol is the difficulty to debug software on multiple wireless nodes at the same time. This difficulty highlights the importance of the simulation-based approach. The most laborious part of the wireless communication is the routing protocol in the network layer when it comes to implementation. In this paper different wireless communication routing protocols are compared by simulation including naive Flooding, Gradient-Based Routing (GBR) and Directed Diffusion (DD). The simulation results show that GBR and DD have a superior performance over flooding as expected, and that GBR and DD has similar efficiency in a smart metering application. Since GBR is easier to implement it is the recommended solution for routing in a smart metering network.
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Lalar, Sacachin, Shashi Bhushan, and Surender Surender. "Analysis of Clone Detection Approaches in Static Wireless Sensor Networks." Oriental journal of computer science and technology 10, no. 3 (2017): 653–59. http://dx.doi.org/10.13005/ojcst/10.03.14.

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Wireless Sensor Networks (WSNs) are developing very fast in the wireless networks. The wireless sensor network has the characteristics of limited memory, small size and limited battery. WSNs are vulnerable to the different types of attacks due to its characteristics. One of the attacks is clone node attack in which attacker capture the nodes from the network and stoles the information from it and replicates it in the network. From the clone nodes, the attacker can easily launch the different type of attacks in the network. To detect the clone node, different methods has been implemented .Each method having advantages and limitations. In the this paper, we explain the different methods to detect the clone nodes in the static wireless sensor network and compare their performance based on the communication cost and memory.
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Kumari, Seema, and Dr M. U. Kharat. "Delay analysis of multihop wireless ad hoc network using queuing network model." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 4 (2013): 1503–9. http://dx.doi.org/10.24297/ijct.v10i4.3250.

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Ad hoc wireless network is a self configurable infrastructure less network. The lack of infrastructure support in ad hoc networks makes them useful in various applications such as at the disaster site, highway, vast forest, battle field, oceans, etc. Since there is no centralized control in ad hoc network, each node can act as a source, a destination or a router. Ad hoc wireless networks therefore, experience congestion more than the wired networks, leading to jitter and high end to end delays even for moderate traffic which may lead to performance degradation. So it is crucial to analyze the factors which affect the capacity and end-to-end delay in wireless ad-hoc networks. In this paper a G/G/1queuing network model is proposed togain insights into the end-to-end delay in a multi hop wireless ad hoc networks. Queuing network model is unique as it providesclosed form expressions for average end-to-end delay in multihop wireless ad hoc networks. NS2 simulation is conducted in order to verify and compare the theoretical results.
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Nazabal, Juan Antonio, Peio López Iturri, Leire Azpilicueta, Francisco Falcone, and Carlos Fernández-Valdivielso. "Performance Analysis of IEEE 802.15.4 Compliant Wireless Devices for Heterogeneous Indoor Home Automation Environments." International Journal of Antennas and Propagation 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/176383.

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The influence of topology as well as morphology of complex indoor scenarios in the deployment of wireless sensor networks and wireless systems applied to home and building automation systems is analyzed. The existence of loss mechanisms such as material absorption (walls, furniture, etc.) and strong multipath components as well as the increase in the number of wireless sensors within indoor scenarios increases the relevance in the configuration of the heterogeneous wireless systems. Simulation results by means of empirical-based models are compared with an in-house 3D ray launching code as well as measurement results from wireless sensor networks illustrate the strong influence of the indoor scenario in the overall performance. The use of adequate radioplanning strategies lead to optimal wireless network deployments in terms of capacity, quality of service, and reduced power consumption.
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Phan, Linh-An, Taejoon Kim, Taehong Kim, JaeSeang Lee, and Jae-Hyun Ham. "Performance Analysis of Time Synchronization Protocols in Wireless Sensor Networks." Sensors 19, no. 13 (2019): 3020. http://dx.doi.org/10.3390/s19133020.

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The time synchronization protocol is indispensable in various applications of wireless sensor networks, such as scheduling, monitoring, and tracking. Numerous protocols and algorithms have been proposed in recent decades, and many of them provide micro-scale resolutions. However, designing and implementing a time synchronization protocol in a practical wireless network is very challenging compared to implementation in a wired network; this is because its performance can be deteriorated significantly by many factors, including hardware quality, message delay jitter, ambient environment, and network topology. In this study, we measure the performance of the Flooding Time Synchronization Protocol (FTSP) and Gradient Time Synchronization Protocol (GTSP) in terms of practical network conditions, such as message delay jitter, synchronization period, network topology, and packet loss. This study provides insights into the operation and optimization of time synchronization protocols. In addition, the performance evaluation identifies that FTSP is highly affected by message delay jitter due to error accumulation over multi-hops. We demonstrate that the proposed extended version of the FTSP (E-FTSP) alleviates the effect of message delay jitter and enhances the overall performance of FTSP in terms of error, time, and other factors.
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Bagubali, A., Tanmay Verma, Anurag Anand, V. Prithiviraj, and P. S. Mallick. "Performance Analysis of Handover Schemes in Heterogeneous Networks." Journal of Circuits, Systems and Computers 27, no. 11 (2018): 1850177. http://dx.doi.org/10.1142/s0218126618501773.

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Internet protocol (IP)-based mobile systems are ushering new and faster technologies in wireless mobile networking. Therefore, the expectations from these network services with respect to data transfer rate and quality of service (QoS) are high. As such, meeting these requirements is the recent trend in modern wireless technologies. An important aspect regarding such improvements is the modification of handoff schemes between different networks. In this paper, we are focusing on the recent trends based on seamless handoff scheme in heterogeneous networks such as worldwide interoperability for microwave access (WiMAX) and long term evolution (LTE). The development of the session initiation protocol (SIP) Prior-INVITE scheme is an improvement on the earlier used SIP Re-INVITE method, which comes a long way in decreasing the average handoff delay. The performance analysis using software simulation on account of various parameters, such as handoff delay, cost of signaling and packet loss rate are accomplished in this work. The performance analysis demonstrates that the proposed scheme outperforms the ordinary cross-layer scheme and noncross-layer scheme in a vertical handover scenario.
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Shrivastava, Sandeep, Alok Jain, and Ram Kumar Soni. "Performance Analysis of FBMC System for Next Generation of Wireless Network." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11 (2019): 126–31. http://dx.doi.org/10.5373/jardcs/v11i11/20193177.

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Abdullahi Mujaheed Saleh, Hasliza Binti Hashim, Omar Faruque, Tadiwa Elisha Nyamasvisva,. "PERFORMANCE ANALYSIS OF GEOGRAPHICAL ROUTING PROTOCOL IN MOBILE AD HOC NETWORK." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 191–97. http://dx.doi.org/10.17762/itii.v9i1.118.

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Wireless technology has brought a very advanced change in the field of the internet. It has given rise to many new applications. In recent years, a lot of work has been done in the field of Mobile Ad hoc Networks (MANET) which makes it so popular in the area of research work. MANET is an infrastructure-less, dynamic network that consists of a collection of wireless mobile nodes, and the communication between these nodes has been carried out without any centralized authority. There are several network performance metrics, Packet Loss and End-to-End Delay which can be taken into account, for getting a general idea about the performance of the Geographical Routing Protocol in Mobile Ad-Hoc Networks. The proposed research will evaluate the parameters which affect the communication in the Geographical Routing Protocol in Mobile Ad-Hoc Networks.
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Kaur, Mukhwinder. "Brief Performance Analysis of Routing Protocols." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 1051–53. http://dx.doi.org/10.22214/ijraset.2021.38122.

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Abstract: Routing in Wireless Sensor Networks (WSNs) plays an important role in areas such as environment-oriented surveillance and traffic monitoring. Here we have explored the large contribution of routing to WSNs. This paper is primarily intended to categorize routing issues and investigate optimization issues related to routing. The following describes various features related to routing energy, security, speed, and reliability issues. The documentation is then analyzed for simulated environments and test configurations, knowledge of quality of service (QoS) and implementations in various applications.. Keywords: Wireless Sensor Networks; reliability, energy-efficient data communication; energy management; energy enviorment
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M, Durai Pandian. "PERFORMANCE ANALYSIS AND QOS FRAMEWORK OF FLY WİRELESS NETWORK." IRO Journal on Sustainable Wireless Systems 01, no. 02 (2019): 103–15. http://dx.doi.org/10.36548/jsws.2019.2.003.

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The spread out of wireless mesh network has made possible the extended range of communication network that are impractical due to environmental changes in a wired access point, these wireless mesh network does not require much competence to set it up as it can be set very fast at a cheap rate, and the conveyancing of messages in it happens by selecting the shortest path, these wireless mesh built-in with irrepressible and invulnerable identities come with an endurance to temporary congestion and individual node failure. This results in an architecture providing a better coverage, flaw indulgent with higher bandwidth compared to other wireless distributed systems. But faces the limitation on power conservation. The battery activated mesh nodes loses their resources on perception, processing and transmission of the data’s, though these batteries or accumulators comes with energy regaining capability still draw backs show up as their nature of energy regaining are unexposed. So the performance analysis of fly wireless network which proposes a uninterrupted wireless mesh networks aims at providing a best measure of performance that is the best quality of service on the meshwork by providing an improved energy gleaning using potency segregation (IGPS) which empowers each node to have self- contained accumulation of energy achieving heightened adaption with energy consumption kept at a minimum. The gross functioning of the proposed is examined on the bases of delay and packet loss to prove the quality of service acquired.
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Gurlhosur, Punam Karadge, and Dr S. V. Sankpal. "Performance Analysis of AODV Based Maximum Energy Level Routing in Ad-Hoc Networks." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 6, no. 1 (2013): 658–64. http://dx.doi.org/10.24297/ijmit.v6i1.742.

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Advances in wireless communications have enabled the development of networks of a large number of small inexpensive, low-power multifunctional devices. These wireless Adhoc networks present a very interesting and challenging area and have tremendous potential applications. Communication protocols are the heart and soul of any communication network and the same is true for the Adhoc networks. Because of their great potential for providing safer and healthier environments for human beings they have attracted extensive interest from industry and academia. These Adhoc networks are usually operated in energy constraint environments. Therefore, from a networking perspective, energy efficiency is a critical objective in the design of communication protocols.This paper describes improvement of an energy efficiency routing for ad hoc network utilizing the high energy paths. We present a comparative analysis of existing AODV protocol and energy efficient AODV protocol which is modified to improve network lifetime in MANET. Simulation results indicate that the routing schemes are more efficient than existing well-known routing protocol.
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Zhu, Heng Jun, and Rui Wang. "Analysis of Conflict Resolution Model in Campus WLAN Wireless Network." Advanced Materials Research 989-994 (July 2014): 4590–93. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4590.

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In the campus WLAN wireless networks, transfer speed of network data is attracted great attention of users. How to solve conflict problem occurred in the network data transmission process has become the main goal of the campus WLAN network optimization. This paper presents campus WLAN wireless networks conflict resolution based channel mapping anti-collision algorithm. According to the amount of data to be transmitted in the network, the data length is estimated to provide conflict resolution with support data. On the basis of the channel mapping anti-collision algorithm related theory, conflict resolution model is established. Experimental results show that the proposed algorithm used in resolving conflict in campus WLAN wireless network can reduce the probability of data conflict happened in channel, so as to improve the performance of campus WLAN wireless network.
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36

Khuong, Ho Van, Hyung-Yun Kong, and Hwi-Jae Jeong. "Performance Analysis of Adaptive Collaborative Communications in Wireless Networks." KIPS Transactions:PartC 13C, no. 6 (2006): 749–56. http://dx.doi.org/10.3745/kipstc.2006.13c.6.749.

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Sugano, Masashi, Doo Seop Eom, Masayuki Murata, and Hideo Miyahara. "Performance Analysis of Signaling Delay for Wireless Cellular Networks." Journal of Computing and Information Technology 12, no. 3 (2004): 251. http://dx.doi.org/10.2498/cit.2004.03.06.

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38

Montiel, Edgar, Mario Rivero-Angeles, Gerardo Rubino, Heron Molina-Lozano, Rolando Menchaca-Mendez, and Ricardo Menchaca-Mendez. "Performance Analysis of Cluster Formation in Wireless Sensor Networks." Sensors 17, no. 12 (2017): 2902. http://dx.doi.org/10.3390/s17122902.

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39

Çalhan, Ali. "Performance Analysis of Traffic Sensitive Wireless Body Area Networks." Pamukkale University Journal of Engineering Sciences 21, no. 5 (2015): 172–77. http://dx.doi.org/10.5505/pajes.2014.71501.

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40

Bourawy, Ashraf, and Takwa Alokap. "Performance Analysis of IEEE 80.11ac Wireless Local Area Networks." IJARCCE 6, no. 4 (2017): 609–13. http://dx.doi.org/10.17148/ijarcce.2017.64114.

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41

Jolly, Pooja, Anjali Goyal, and Sandip Vijay. "Energy Model based Performance Analysis of Wireless Sensor Networks." International Journal of Computer Applications 52, no. 18 (2012): 19–23. http://dx.doi.org/10.5120/8302-1710.

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42

Boopathy, M., V. Jayaprakasan, and Y. J. Nazeer Ahmed. "Performance Analysis for Parallel MRA in Heterogeneous Wireless Networks." International Journal of Computer Applications Technology and Research 2, no. 3 (2013): 329–34. http://dx.doi.org/10.7753/ijcatr0203.1023.

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43

Pan, Gaofeng, Hongjiang Lei, Yi Yuan, and Zhiguo Ding. "Performance Analysis and Optimization for SWIPT Wireless Sensor Networks." IEEE Transactions on Communications 65, no. 5 (2017): 2291–302. http://dx.doi.org/10.1109/tcomm.2017.2676815.

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Yue Ma, J. J. Han, and K. S. Trivedi. "Composite performance and availability analysis of wireless communication networks." IEEE Transactions on Vehicular Technology 50, no. 5 (2001): 1216–23. http://dx.doi.org/10.1109/25.950322.

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Zheng, R., J. C. Hou, and Lui Sha. "Performance analysis of power management policies in wireless networks." IEEE Transactions on Wireless Communications 5, no. 6 (2006): 1351–61. http://dx.doi.org/10.1109/twc.2006.1638656.

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46

Jurado-Lasso, F. Fernando, Ken Clarke, and Ampalavanapillai Nirmalathas. "Performance Analysis of Software-Defined Multihop Wireless Sensor Networks." IEEE Systems Journal 14, no. 4 (2020): 4653–62. http://dx.doi.org/10.1109/jsyst.2019.2948203.

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Hu, Fengye, Xiaolan Liu, Dan Sui, Meiqi Shao, and Liheng Wang. "Performance analysis of reliability in wireless body area networks." IET Communications 11, no. 6 (2017): 925–29. http://dx.doi.org/10.1049/iet-com.2016.0997.

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Rutagemwa, H., T. J. Willink, and Li Li. "Modeling and Performance Analysis of Multihop Cooperative Wireless Networks." IEEE Transactions on Vehicular Technology 59, no. 6 (2010): 3057–69. http://dx.doi.org/10.1109/tvt.2010.2048768.

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Liu, Wang, Kejie Lu, Jianping Wang, Guoliang Xing, and Liusheng Huang. "Performance Analysis of Wireless Sensor Networks With Mobile Sinks." IEEE Transactions on Vehicular Technology 61, no. 6 (2012): 2777–88. http://dx.doi.org/10.1109/tvt.2012.2194747.

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50

Afzal, Humaira, Irfan Awan, Mohammed Rafiq Mufti, and Ray E. Sheriff. "Performance analysis of contending customer equipment in wireless networks." Journal of Systems and Software 117 (July 2016): 357–65. http://dx.doi.org/10.1016/j.jss.2016.03.062.

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