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Relevant bibliographies by topics / Performance analysis of wireless networks

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Academic literature on the topic 'Performance analysis of wireless networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Performance analysis of wireless networks"

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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.Â 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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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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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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Dissertations / Theses on the topic "Performance analysis of wireless networks"

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Moraes, Renato Mariz de. "Performance analysis of wireless networks /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2005. http://uclibs.org/PID/11984.

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She, Huimin. "Network-Calculus-based Performance Analysis for Wireless Sensor Networks." Licentiate thesis, KTH, Electronic, Computer and Software Systems, ECS, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10686.

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<p>Recently, wireless sensor network (WSN) has become a promising technologywith a wide range of applications such as supply chain monitoringand environment surveillance. It is typically composed of multiple tiny devicesequipped with limited sensing, computing and wireless communicationcapabilities. Design of such networks presents several technique challengeswhile dealing with various requirements and diverse constraints. Performanceanalysis techniques are required to provide insight on design parametersand system behaviors.</p><p>Based on network calculus, we present a deterministic analysis methodfor evaluating the worst-case delay and buffer cost of sensor networks. Tothis end, three general traffic flow operators are proposed and their delayand buffer bounds are derived. These operators can be used in combinationto model any complex traffic flowing scenarios. Furthermore, the methodintegrates a variable duty cycle to allow the sensor nodes to operate at lowrates thus saving power. In an attempt to balance traffic load and improveresource utilization and performance, traffic splitting mechanisms areintroduced for mesh sensor networks. Based on network calculus, the delayand buffer bounds are derived in non-splitting and splitting scenarios.In addition, analysis of traffic splitting mechanisms are extended to sensornetworks with general topologies. To provide reliable data delivery in sensornetworks, retransmission has been adopted as one of the most popularschemes. We propose an analytical method to evaluate the maximum datatransmission delay and energy consumption of two types of retransmissionschemes: hop-by-hop retransmission and end-to-end retransmission.</p><p>We perform a case study of using sensor networks for a fresh food trackingsystem. Several experiments are carried out in the Omnet++ simulationenvironment. In order to validate the tightness of the two bounds obtainedby the analysis method, the simulation results and analytical results arecompared in the chain and mesh scenarios with various input traffic loads.From the results, we show that the analytic bounds are correct and tight.Therefore, network calculus is useful and accurate for performance analysisof wireless sensor network.</p><br>Ipack VINN Excellence Center

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AL-Maksousy, Hassan Hadi Latheeth. "Performance Analysis of Multi-hop Wireless Networks." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1352963844.

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Dash, Trivikram. "Performance Analysis of Wireless Networks with QoS Adaptations." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4336/.

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The explosive demand for multimedia and fast transmission of continuous media on wireless networks means the simultaneous existence of traffic requiring different qualities of service (QoS). In this thesis, several efficient algorithms have been developed which offer several QoS to the end-user. We first look at a request TDMA/CDMA protocol for supporting wireless multimedia traffic, where CDMA is laid over TDMA. Then we look at a hybrid push-pull algorithm for wireless networks, and present a generalized performance analysis of the proposed protocol. Some of the QoS factors considered include customer retrial rates due to user impatience and system timeouts and different levels of priority and weights for mobile hosts. We have also looked at how customer impatience and system timeouts affect the QoS provided by several queuing and scheduling schemes such as FIFO, priority, weighted fair queuing, and the application of the stretch-optimal algorithm to scheduling.

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Ganesh, Babu Thimma V. J. "Performance analysis of broadband multimedia wireless communication networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ63989.pdf.

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Waqar, Omer. "Performance analysis of non-regenerative wireless relay networks." Thesis, University of Leeds, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.545720.

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Chembil, Palat Ramesh. "Performance analysis of cooperative communication for wireless networks." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/30080.

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The demand for access to information when and where you need has motivated the transition of wireless communications from a fixed infrastructure based cellular communications technology to a more pervasive adhoc wireless networking technology. Challenges still remain in wireless adhoc networks in terms of meeting higher capacity demands, improved reliability and longer connectivity before it becomes a viable widespread commercial technology. Present day wireless mesh networking uses node-to-node serial multi-hop communication to convey information from source to destination in the network. The performance of such a network depends on finding the best possible route between the source and destination nodes. However the end-to-end performance can only be as good as the weakest link within a chosen route. Unlike wired networks, the quality of point-to-point links in a wireless mesh network is subject to random fluctuations. This adversely affects the performance resulting in poor throughput and poor energy efficiency. In recent years, a new paradigm for communication called cooperative communications has been proposed for which initial information theoretic studies have shown the potential for improvements in capacity over traditional multi-hop wireless networks. Cooperative communication involves exploiting the broadcast nature of the wireless medium to form virtual antenna arrays out of independent single-antenna network nodes for transmission. In this research we explore the fundamental performance limits of cooperative communication under more practical operating scenarios. Specifically we provide a framework for computing the outage and ergodic capacities of non identical distributed MIMO links, study the effect of time synchronization error on system performance, analyze the end-to-end average bit error rate (ABER) performance under imperfect relaying, and study range extension and energy efficiency offered by the system when compared to a traditional system.<br>Ph. D.

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Al-Saedy, Murtadha. "Performance analysis of multicell coordination in cellular wireless networks." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/12606.

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In this thesis, multicell coordination for wireless cellular networks is studied, whereby various approaches have been conducted to tackle this issue. Firstly, the coverage probability and e ective capacity in downlink multiple-input multiple-output (MIMO) cellular system are considered. Two scenarios are investigated; in the rst scenario, it is assumed that the system employs distance-based fractional power control with no multicell coordination. For the second scenario, it is assumed that the system implements multicell coordinated beamforming so as to cancel inter-cell interference. The base stations (BS) are modelled as randomly uniformly distributed in the area according to Poisson point process (PPP). Using tools from stochastic geometry, tractable, analytical expressions for coverage probability and e ective capacity are derived for both scenarios. Secondly, an adaptive strategy for inter-cell interference cancellation and coordination is proposed for downlink multicarrier cellular random networks. The adaptive strategy coordinates and cancels the interference on the both frequency and spatial domains. Based on this adaptive strategy, two interference management schemes have been proposed. The adaptation process is implemented based on measured instantaneous signal-to-interference and noise ratio (SINR) of the considered user. Furthermore, the locations of base stations BSs are modelled as an independent spatial PPP. Using tools from stochastic geometry, the proposed schemes have been analytically evaluated. Analytical expressions for coverage probability are derived for both schemes. In addition, an expression for average rate has been derived using the coverage probability analysis. Thirdly, low complexity algorithms for user scheduling have been proposed for coordinated MIMO multicell network. The algorithms consist of two stages: multicell scheduling stage and precoding stage. The algorithm works on sequential distributive manner. Two variants of multicell scheduling are proposed. The rst algorithm has less complexity but leads to more di erence in sum rate among cells. While the second algorithm results in better fairness in terms of system performance but causes frequent signalling among the cells. Moreover, the algorithm is extended to multimode selection in addition to the user selection. Finally, an adaptive coordination scheme for energy-effeicient resource allocation has been developed for orthogonal frequency division multiple access (OFDMA) cellular networks. The proposed scheme consists of centralised and distributed stages for allocating resources to cell-edge and cell-centre users, respectively. The optimisation problems are formulated as integer linear fractional and integer linear problems for the first stage and second stages, respectively. The spectral-energy trade-o is analysed under the constraint of fairness among users. In summary, the research work presented in this thesis reveals statistical approach to analyse the multicell coordination in random cellular networks. It also offers insight into the resource allocation and scheduling problems within multicell coordination framework, and how to solve them with a certain objective.

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Samaras, Konstantinos. "Performance analysis of wireless infrared communication systems." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300127.

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Demirel, Burak. "Architectures and Performance Analysis of Wireless Control Systems." Doctoral thesis, KTH, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-165767.

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Modern industrial control systems use a multitude of spatially distributed sensors and actuators to continuously monitor and control physical processes. Information exchange among control system components is traditionally done through physical wires. The need to physically wire sensors and actuators limits flexibility, scalability and reliability, since the cabling cost is high, cable connectors are prone to wear and tear, and connector failures can be hard to isolate. By replacing some of the cables with wireless communication networks, costs and risks of connector failures can be decreased, resulting in a more cost-efficient and reliable system. Integrating wireless communication into industrial control systems is challenging, since wireless communication channels introduce imperfections such as stochastic delays and information losses. These imperfections deteriorate the closed-loop control performance, and may even cause instability. In this thesis, we aim at developing design frameworks that take these imperfections into account and improve the performance of closed-loop control systems. The thesis first considers the joint design of packet forwarding policies and controllers for wireless control loops where sensor measurements are sent to the controller over an unreliable and energy-constrained multi-hop wireless network. For a fixed sampling rate of the sensor, the co-design problem separates into two well-defined and independent subproblems: transmission scheduling for maximizing the deadline-constrained reliability and optimal control under packet losses. We develop optimal and implementable solutions for these subproblems and show that the optimally co-designed system can be obtained efficiently. The thesis continues by examining event-triggered control systems that can help to reduce the energy consumption of the network by transmitting data less frequently. To this end, we consider a stochastic system where the communication between the controller and the actuator is triggered by a threshold-based rule. The communication is performed across an unreliable link that stochastically erases transmitted packets. As a partial protection against dropped packets, the controller sends a sequence of control commands to the actuator in each packet. These commands are stored in a buffer and applied sequentially until the next control packet arrives. We derive analytical expressions that quantify the trade-off between the communication cost and the control performance for this class of event-triggered control systems. The thesis finally proposes a supervisory control structure for wireless control systems with time-varying delays. The supervisor has access to a crude indicator of the overall network state, and we assume that individual upper and lower bounds on network time-delays can be associated to each value of the indicator. Based on this information, the supervisor triggers the most appropriate controller from a multi-controller unit. The performance of such a supervisory controller allows for improving the performance over a single robust controller. As the granularity of the network state measurements increases, the performance of the supervisory controller improves at the expense of increased computational complexity.<br><p>QC 20150504</p>

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Books on the topic "Performance analysis of wireless networks"

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service), SpringerLink (Online, ed. Power Distribution and Performance Analysis for Wireless Communication Networks. Springer US, 2012.

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Zhao, Dongmei. Power Distribution and Performance Analysis for Wireless Communication Networks. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3284-5.

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Jin, Shunfu, and Wuyi Yue. Resource Management and Performance Analysis of Wireless Communication Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7756-7.

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Marshall, Preston. Quantitative analysis of cognitive radio and network performance. Artech House, 2010.

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Yue, Wuyi. Performance analysis of multi-channel and multi-traffic on wireless communication networks. Kluwer Academic, 2002.

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Soong, Kim Che, Melikov Agassi, and SpringerLink (Online service), eds. Performance Analysis and Optimization of Multi-Traffic on Communication Networks. Springer-Verlag Berlin Heidelberg, 2010.

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LTE, WIMAX, and WLAN network design, optimization and performance analysis. Wiley, 2011.

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Demeester, Piet. Wireless Sensor Networks: 10th European Conference, EWSN 2013, Ghent, Belgium, February 13-15, 2013. Proceedings. Springer Berlin Heidelberg, 2013.

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Sotiris, Nikoletseas, Orponen Pekka, and SpringerLink (Online service), eds. Algorithms for Sensor Systems: 7th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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Rong, Zheng, Jing Tao, Xing Kai, and SpringerLink (Online service), eds. Wireless Algorithms, Systems, and Applications: 7th International Conference, WASA 2012, Yellow Mountains, China, August 8-10, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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Book chapters on the topic "Performance analysis of wireless networks"

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Sadiku, Matthew N. O., and Sarhan M. Musa. "Wireless Networks." In Performance Analysis of Computer Networks. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01646-7_9.

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Peng, Mugen, Zhongyuan Zhao, and Yaohua Sun. "Theoretical Performance Analysis of Fog Radio Access Networks." In Wireless Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50735-0_3.

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Zhao, Dongmei. "Advanced Wireless Communication Networks." In Power Distribution and Performance Analysis for Wireless Communication Networks. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3284-5_4.

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Jiang, Shengming. "Quantitative End-to-End Arguments: Performance Analysis." In Future Wireless and Optical Networks. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2822-9_7.

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Zhao, Dongmei. "CDMA-Based Wireless Cellular Networks." In Power Distribution and Performance Analysis for Wireless Communication Networks. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3284-5_2.

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Pack, Sangheon, and Yanghee Choi. "Performance Analysis of Fast Handover in Mobile IPv6 Networks." In Personal Wireless Communications. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39867-7_64.

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Lei, Lei, Chuang Lin, and Zhangdui Zhong. "Performance Analysis of Opportunistic Schedulers Using SPNs." In Stochastic Petri Nets for Wireless Networks. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16883-8_3.

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Dei Rossi, Gian-Luca, Lucia Gallina, and Sabina Rossi. "Performance Analysis and Formal Verification of Cognitive Wireless Networks." In Computer Performance Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40725-3_18.

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Benetazzo, L., M. Bertocco, C. Narduzzi, and R. Tittoto. "Analysis and Measurement of TCP/IP Performance over GPRS Networks." In Personal Wireless Communications. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39867-7_28.

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A., Ruhan Bevi, and Malarvizhi S. "Performance Analysis of TEA Block Cipher for Low Power Applications." In Wireless Networks and Computational Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31686-9_71.

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Conference papers on the topic "Performance analysis of wireless networks"

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Araniti, G., J. Cosmas, A. Iera, A. Molinaro, R. Morabito, and A. Orsino. "OpenFlow over wireless networks: Performance analysis." In 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2014. http://dx.doi.org/10.1109/bmsb.2014.6873559.

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Rodriguez-Dagnino, Ramon M., and Carlos A. Leyva-Valenzuela. "Performance analysis in broadband wireless networks." In Photonics East '99, edited by Robert D. van der Mei and Daniel P. Heyman. SPIE, 1999. http://dx.doi.org/10.1117/12.360373.

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Cho, Sangman, Srinivasan Ramasubramanian, Onur Turkcu, and Suresh Subramaniam. "Performance analysis of multi-channel wireless infrastructure networks." In Metropolitan Area Networks (LANMAN). IEEE, 2010. http://dx.doi.org/10.1109/lanman.2010.5507175.

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Yan, Y., H. Cai, and S. W. Seo. "Performance Analysis of IEEE802.11 Wireless Mesh Networks." In 2008 IEEE International Conference on Communications. IEEE, 2008. http://dx.doi.org/10.1109/icc.2008.482.

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He, Xiaoming, and John K. Pollard. "Performance analysis of wireless Sensor Area Networks." In 2007 IEEE International Conference on Networking, Sensing and Control. IEEE, 2007. http://dx.doi.org/10.1109/icnsc.2007.372927.

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Gupta, Shikha, and Manoj M. Dongre. "Performance analysis of underwater wireless communication networks." In 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2017. http://dx.doi.org/10.1109/iceca.2017.8203732.

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Farago, Andras. "Topology analysis of multi-hop wireless networks." In 2015 IEEE 16th International Conference on High-Performance Switching and Routing (HPSR). IEEE, 2015. http://dx.doi.org/10.1109/hpsr.2015.7483113.

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Zhang, Yu, Lian-Kuan Chen, and Chun-Kit Chan. "Performance analysis of multidimensional optical routing networks." In Asia-Pacific Optical and Wireless Communications 2002, edited by Shizhong Xie, Chunming Qiao, and Yun Chur Chung. SPIE, 2002. http://dx.doi.org/10.1117/12.482452.

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Guo, Shanzeng. "Performance analysis of wireless intruder geolocation in campus wireless networks." In MILCOM 2012 - 2012 IEEE Military Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/milcom.2012.6415758.

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Young-Dong Lee, Do-Un Jeong, and Hoon-Jae Lee. "Performance analysis of wireless link quality in wireless sensor networks." In 2010 5th International Conference on Computer Sciences and Convergence Information Technology (ICCIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccit.2010.5711208.

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Reports on the topic "Performance analysis of wireless networks"

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Tong, Lang. Wireless Ad-Hoc Networks with Receiver Multipacket Reception: Performance Analysis and Signal Processing. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada430770.

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Cimini, Leonard J., John M. Walsh, Steven P. Weber, and Javier Garcia-Frias. Overhead-Performance Tradeoffs in Distributed Wireless Networks. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada621199.

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Bhandari, Vartika. Performance of Wireless Networks Subject to Constraints and Failures. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada603092.

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Luo, Zhi-Quan. Mathematical Analysis of Signal Processing Capabilities of Wireless Networks. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada499991.

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Yeh, Edmund. Analysis and Design of Highly Resilient Wireless and Sensor Networks. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada500720.

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Biaz, Saad, and Nitin H. Vaidya. De-Randomizing" Congestion Losses to Improve TCP Performance over Wired-Wireless Networks". Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada486713.

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Wieselthier, Jeffrey E., Craig M. Barnhart, and Anthony Ephremides. Novel Techniques for the Analysis of Wireless Integrated Voice/Data Networks. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada297071.

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Luo, Zhi-Quan. Complexity Analysis and Algorithms for Optimal Resource Allocation in Wireless Networks. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada579191.

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VAN LEEUWEN, BRIAN P., and MARK D. TORGERSON. Performance Impacts of Lower-Layer Cryptographic Methods in Mobile Wireless Ad Hoc Networks. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/805840.

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Blum, Rick S. Performance Limits and Design of MIMO for Sensor and Ad Hoc Wireless and Networks. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada495070.

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