Relevant bibliographies by topics / Performance of Heterogeneous networks

Academic literature on the topic 'Performance of Heterogeneous networks'

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Published: 6 September 2023

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Journal articles on the topic "Performance of Heterogeneous networks"

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Huang, Genling, and Jiqiang Wang. "Vibration Performance Redistribution in Heterogeneous Networks." Shock and Vibration 2020 (December 22, 2020): 1–7. http://dx.doi.org/10.1155/2020/8867434.

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Collective behaviors such as synchronization, consensus, and flocking have been extensively investigated over the past decades. Many important results have been disseminated concerning the properties of complex networks. Recent technological development requires performance distribution, and this motivates the resolution to the issue of performance distributability. Albeit in a simple setup, this paper presents an attempt to attacking this problem. Important results are obtained for performance redistribution under both unitary and specified specifications. Constraints are also considered revealing the tight bounds on both nodes dynamics and graph elements for fulfilling the performance distribution and redistribution requirements. Examples are presented for verification of the claims.
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Gupta, Sanjay, and Keith W. Ross. "Performance modeling of heterogeneous data networks." Annals of Operations Research 35, no. 2 (April 1992): 125–51. http://dx.doi.org/10.1007/bf02033193.

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Dainotti, Alberto, Salvatore Loreto, Antonio Pescapé, and Giorgio Ventre. "SCTP performance evaluation over heterogeneous networks." Concurrency and Computation: Practice and Experience 19, no. 8 (2007): 1207–18. http://dx.doi.org/10.1002/cpe.1159.

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Iddianozie, Chidubem, and Gavin McArdle. "Towards Robust Representations of Spatial Networks Using Graph Neural Networks." Applied Sciences 11, no. 15 (July 27, 2021): 6918. http://dx.doi.org/10.3390/app11156918.

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The effectiveness of a machine learning model is impacted by the data representation used. Consequently, it is crucial to investigate robust representations for efficient machine learning methods. In this paper, we explore the link between data representations and model performance for inference tasks on spatial networks. We argue that representations which explicitly encode the relations between spatial entities would improve model performance. Specifically, we consider homogeneous and heterogeneous representations of spatial networks. We recognise that the expressive nature of the heterogeneous representation may benefit spatial networks and could improve model performance on certain tasks. Thus, we carry out an empirical study using Graph Neural Network models for two inference tasks on spatial networks. Our results demonstrate that heterogeneous representations improves model performance for down-stream inference tasks on spatial networks.
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Thalore, Ranjana, Partha Pratim Bhattacharya, and Manish Kumar Jha. "Performance Comparison of Homogeneous and Heterogeneous 3D Wireless Sensor Networks." Journal of Telecommunications and Information Technology, no. 2 (June 30, 2017): 32–37. http://dx.doi.org/10.26636/jtit.2017.110216.

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Recent developments in wireless sensor networks include their applications in safety, medical monitoring, environment monitoring and many more. Limited battery energy and efficient data delivery are most considered constraints for sensor nodes. Depletion of node battery ceases functioning of the node. The network lifetime can be enhanced with the help of Multi-Layer protocol (ML-MAC). This paper presents a practical approach including 3-dimensional deployment of sensor nodes and analyzes two different types of networks – homogeneous and heterogeneous WSNs. To analyze various QoS parameters, two types of nodes are considered in a heterogeneous network. The performance of both the networks is compared through simulations. The results show that ML-MAC performs better for a 3D heterogeneous WSNs.
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Wang, Xue Bing. "Heterogeneous Architecture for Ad Hoc Networks." Advanced Materials Research 756-759 (September 2013): 1059–62. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1059.

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By making small adjustment to general ad hoc network architecture, we build a network topology with short average path length and high clustering coefficient, which are two important metrics of ad hoc networks. Furthermore, an efficient probabilistic flooding routing algorithm is proposed based on this network model. Simulation results show that this architecture behaves better performance than its ordinary counterpart.
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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 (December 18, 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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Basu, Subho Shankar, Mathias Baert, and Jeroen Hoebeke. "QoS Enabled Heterogeneous BLE Mesh Networks." Journal of Sensor and Actuator Networks 10, no. 2 (March 28, 2021): 24. http://dx.doi.org/10.3390/jsan10020024.

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Bluetooth Low Energy (BLE) is a widely known short-range wireless technology used for various Internet of Things (IoT) applications. Recently, with the introduction of BLE mesh networks, this short-range barrier of BLE has been overcome. However, the added advantage of an extended range can come at the cost of a lower performance of these networks in terms of latency, throughput and reliability, as the core operation of BLE mesh is based on advertising and packet flooding. Hence, efficient management of the system is required to achieve a good performance of these networks and a smoother functioning in dense scenarios. As the number of configuration points in a standard mesh network is limited, this paper describes a novel set of standard compliant Quality of Service (QoS) extensions for BLE mesh networks. The resulting QoS features enable better traffic management in the mesh network, providing sufficient redundancy to achieve reliability whilst avoiding unnecessary packet flooding to reduce collisions, as well as the prioritization of certain traffic flows and the ability to control end-to-end latencies. The QoS-based system has been implemented and validated in a small-scale BLE mesh network and compared against a setup without any QoS support. The assessment in a small-scale test setup confirms that applying our QoS features can enhance these types of non-scheduled and random access networks in a significant way.
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Kouvatsos, Demetres, and Daniel Kofman. "Performance modelling and evaluation of heterogeneous networks." Performance Evaluation 59, no. 2-3 (February 2005): 99–101. http://dx.doi.org/10.1016/j.peva.2004.08.002.

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Xie, Yi, Bo Li, Xiaoya Zuo, Zhongjiang Yan, and Mao Yang. "Performance analysis for 5G beamforming heterogeneous networks." Wireless Networks 26, no. 1 (October 11, 2018): 463–77. http://dx.doi.org/10.1007/s11276-018-1846-5.

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Dissertations / Theses on the topic "Performance of Heterogeneous networks"

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Lecumberri, David (Lecumberri Iriarte) 1973. "TCP performance improvements over heterogeneous networks." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86444.

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Luan, Hao. "Performance Analysis of Integrated Multihop Heterogeneous Networks." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1273167630.

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Müller, Georg. "Traffic profiles and performance modelling of heterogeneous networks." Thesis, University of Plymouth, 2000. http://hdl.handle.net/10026.1/2364.

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This thesis considers the analysis and study of short and long-term traffic patterns of heterogeneous networks. A large number of traffic profiles from different locations and network environments have been determined. The result of the analysis of these patterns has led to a new parameter, namely the 'application signature'. It was found that these signatures manifest themselves in various granularities over time, and are usually unique to an application, permanent virtual circuit (PVC), user or service. The differentiation of the application signatures into different categories creates a foundation for short and long-term management of networks. The thesis therefore looks from the micro and macro perspective on traffic management, covering both aspects. The long-term traffic patterns have been used to develop a novel methodology for network planning and design. As the size and complexity of interconnected systems grow steadily, usually covering different time zones, geographical and political areas, a new methodology has been developed as part of this thesis. A part of the methodology is a new overbooking mechanism, which stands in contrast to existing overbooking methods created by companies like Bell Labs. The new overbooking provides companies with cheaper network design and higher average throughput. In addition, new requirements like risk factors have been incorporated into the methodology, which lay historically outside the design process. A large network service provider has implemented the overbooking mechanism into their network planning process, enabling practical evaluation. The other aspect of the thesis looks at short-term traffic patterns, to analyse how congestion can be controlled. Reoccurring short-term traffic patterns, the application signatures, have been used for this research to develop the "packet train model" further. Through this research a new congestion control mechanism was created to investigate how the application signatures and the "extended packet train model" could be used. To validate the results, a software simulation has been written that executes the proprietary congestion mechanism and the new mechanism for comparison. Application signatures for the TCP/IP protocols have been applied in the simulation and the results are displayed and discussed in the thesis. The findings show the effects that frame relay congestion control mechanisms have on TCP/IP, where the re-sending of segments, buffer allocation, delay and throughput are compared. The results prove that application signatures can be used effectively to enhance existing congestion control mechanisms.
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Bhandari, Tapan. "Comprehensive Performance Analysis of Localizability in Heterogeneous Cellular Networks." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78664.

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The availability of location estimates of mobile devices (MDs) is vital for several important applications such as law enforcement, disaster management, battlefield operations, vehicular communication, traffic safety, emergency response, and preemption. While global positioning system (GPS) is usually sufficient in outdoor clear sky conditions, its functionality is limited in urban canyons and indoor locations due to the absence of clear line-of-sight between the MD to be localized and a sufficient number of navigation satellites. In such scenarios, the ubiquitous nature of cellular networks makes them a natural choice for localization of MDs. Traditionally, localization in cellular networks has been studied using system level simulations by fixing base station (BS) geometries. However, with the increasing irregularity of the BS locations (especially due to capacity-driven small cell deployments), the system insights obtained by considering simple BS geometries may not carry over to real-world deployments. This necessitates the need to study localization performance under statistical (random) spatial models, which is the main theme of this work. In this thesis, we use powerful tools from stochastic geometry and point process theory to develop a tractable analytical model to study the localizability (ability to get a location fix) of an MD in single-tier and heterogeneous cellular networks (HetNets). More importantly, we study how availability of information about the location of proximate BSs at the MD impacts localizability. To this end, we derive tractable expressions, bounds, and approximations for the localizability probability of an MD. These expressions depend on several key system parameters, and can be used to infer valuable system insights. Using these expressions, we quantify the gains achieved in localizability of an MD when information about the location of proximate BSs is incorporated in the model. As expected, our results demonstrate that localizability improves with the increase in density of BS deployments.
Master of Science
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Garcia, Johan. "Improving Performance in Heterogeneous Networks: A Transport Layer Centered Approach." Doctoral thesis, Karlstads universitet, Fakulteten för ekonomi, kommunikation och IT, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-2364.

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The evolution of computer communications and the Internet has led to the emergence of a large number of communication technologies with widely different capabilities and characteristics. While this multitude of technologies provides a wide array of possibilities it also creates a complex and heterogeneous environment for higher-layer communication protocols. Specific link technologies, as well as overall network heterogeneity, can hamper user-perceived performance or impede end-to-end throughput. In this thesis we examine two transport layer centered approaches to improve performance. The first approach addresses the decrease in user satisfaction that occurs when web waiting times become too long. Increased transport layer flexibility with regards to reliability, together with error-resilient image coding, is used to enable a new trade-off. The user is given the possibility to reduce waiting times, at the expense of image fidelity. An experimental examination of this new functionality is provided, with a focus on image-coding aspects. The results show that reduced waiting times can be achieved, and user studies indicate the usefulness of this new trade-off. The second approach concerns the throughput degradations that can occur as a consequence of link and transport layer interactions. An experimental evaluation of the GSM environment shows that when negative interactions do occur, they are coupled to large variability in link layer round-trip times rather than simply to poor radio conditions. Another type of interaction can occur for link layers which expose higher layers to residual bit errors. Residual bit errors create an ambiguity problem for congestion controlled transport layer protocols which cannot correctly determine the cause for a loss. This ambiguity leads to an unnecessary throughput degradation. To mitigate this degradation, loss differentiation and notification mechanisms are proposed and experimentally evaluated from both performance and fairness perspectives. The results show that considerable performance improvements can be realized. However, there are also fairness implications that need to be taken into account since the same mechanisms that improve performance may also lead to unfairness towards flows that do not employ loss differentiation.
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Xu, Jianxuan. "Performance evaluation of TCP over optical channels and heterogeneous networks." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000314.

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Tokgoz, Yavuz. "Heterogeneous ad hoc networks : performance improvement through supplementary agent nodes /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3167847.

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Sandberg, Henrik, Maben Rabi, Mikael Skoglund, and Karl Henrik Johansson. "Estimation over heterogeneous sensor networks." KTH, ACCESS Linnaeus Centre, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-30325.

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Design trade-offs between estimation performance, processing delay and communication cost for a sensor scheduling problem is discussed. We consider a heterogeneous sensor network with two types of sensors: the first type has low-quality measurements, small processing delay and a light communication cost, while the second type is of high quality, but imposes a large processing delay and a high communication cost. Such a heterogeneous sensor network is common in applications, where for instance in a localization system the poor sensor can be an ultrasound sensor while the more powerful sensor can be a camera. Using a time-periodic Kalman filter, we show how one can find an optimal schedule of the sensor communication. One can significantly improve estimation quality by only using the expensive sensor rarely. We also demonstrate how simple sensor switching rules based on the Riccati equation drives the filter into a stable time-periodic Kalman filter. ￜ 2008 IEEE.

QC 20110224

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Alnuem, M. A. "Improving TCP performance over heterogeneous networks : the investigation and design of End to End techniques for improving TCP performance for transmission errors over heterogeneous data networks." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/3347.

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Transmission Control Protocol (TCP) is considered one of the most important protocols in the Internet. An important mechanism in TCP is the congestion control mechanism which controls TCP sending rate and makes TCP react to congestion signals. Nowadays in heterogeneous networks, TCP may work in networks with some links that have lossy nature (wireless networks for example). TCP treats all packet loss as if they were due to congestion. Consequently, when used in networks that have lossy links, TCP reduces sending rate aggressively when there are transmission (non-congestion) errors in an uncongested network. One solution to the problem is to discriminate between errors; to deal with congestion errors by reducing TCP sending rate and use other actions for transmission errors. In this work we investigate the problem and propose a solution using an end-to-end error discriminator. The error discriminator will improve the current congestion window mechanism in TCP and decide when to cut and how much to cut the congestion window. We have identified three areas where TCP interacts with drops: congestion window update mechanism, retransmission mechanism and timeout mechanism. All of these mechanisms are part of the TCP congestion control mechanism. We propose changes to each of these mechanisms in order to allow TCP to cope with transmission errors. We propose a new TCP congestion window action (CWA) for transmission errors by delaying the window cut decision until TCP receives all duplicate acknowledgments for a given window of data (packets in flight). This will give TCP a clear image about the number of drops from this window. The congestion window size is then reduced only by number of dropped packets. Also, we propose a safety mechanism to prevent this algorithm from causing congestion to the network by using an extra congestion window threshold (tthresh) in order to save the safe area where there are no drops of any kind. The second algorithm is a new retransmission action to deal with multiple drops from the same window. This multiple drops action (MDA) will prevent TCP from falling into consecutive timeout events by resending all dropped packets from the same window. A third algorithm is used to calculate a new back-off policy for TCP retransmission timeout based on the network's available bandwidth. This new retransmission timeout action (RTA) helps relating the length of the timeout event with current network conditions, especially with heavy transmission error rates. The three algorithms have been combined and incorporated into a delay based error discriminator. The improvement of the new algorithm is measured along with the impact on the network in terms of congestion drop rate, end-to-end delay, average queue size and fairness of sharing the bottleneck bandwidth. The results show that the proposed error discriminator along with the new actions toward transmission errors has increased the performance of TCP. At the same time it has reduced the load on the network compared to existing error discriminators. Also, the proposed error discriminator has managed to deliver excellent fairness values for sharing the bottleneck bandwidth. Finally improvements to the basic error discriminator have been proposed by using the multiple drops action (MDA) for both transmission and congestion errors. The results showed improvements in the performance as well as decreases in the congestion loss rates when compared to a similar error discriminator.
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Legonkov, Pavel, and Vasily Prokopov. "Small Cell Wireless Backhaul in Mobile Heterogeneous Networks." Thesis, KTH, Kommunikationssystem, CoS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99010.

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Small cells are deployed in a crowded areas with a high demand for both coverage and capacity. It is hard to address both of these requirements simultaneous with a conventional mobile network architecture based on macro cells. In many case a wire is not available to connect the small cell to the core of the mobile network. Under these circumstances a wireless link could be a convenient solution for the backhaul. In this master’s thesis IEEE 802.11n technology was evaluated to assess its suitability for backhaul from a small wireless cell. The performance of wireless equipment manufactured by several vendors has been measured. The results of these measurements were analyzed and compared to a set of requirements established for small cell backhaul. The analysis has affirmed that IEEE 802.11n is capable of providing sufficient performance to be used for small cell backhaul in various deployment scenarios. Note that in this thesis we include femtocells, picocells, wireless LAN access points, and other technologies in the category of "small cells". Another research questions of this master’s thesis is security of small cell backhaul. In addition to protecting the backhaul link itself, the security research investigated the safety of the whole mobile network architecture remodeled with the introduction of small cells. A mechanism to integrate secure small cells into a mobile network was developed. The results obtained during the project will be used as an input for product development activities in the company hosting the project. The resulting product could become the target of future wireless system performance measurements.
Små celler sätts ut i områden med höga krav på täckning och kapacitet. Det är svårt att adressera båda dessa krav samtidigt med en konventionell mobil nätverksarkitektur baserad på makro-celler. I många fall finns ingen kabel tillgänglig att koppla den lilla cellen till kärnan i det mobila nätverket. Under dessa omständigheter kan en trådlös länk vara en lämplig lösning för backhaul. I denna avhandling utvärderas IEEE 802.11n-teknikens lämplighet för backhaul av små celler. Prestandan hos trådlös utrustning tillverkad av flera olika tillverkare har mätts. Resultaten av dessa mätningar analyserades och jämfördes med en mängd krav uppsatta för backhaul av små celler. Analysen har förankrat att IEEE 802.11n är kapabel till att tillhandahålla tillräcklig prestanda för backhaul av små celler i diverse miljöer. Notera att i denna avhandling så inkluderas femto-celler, pico-celler, Wireless LAN-åtkomstpunkter, och andra teknologier i kategorin små celler". Andra forskningsfrågor berörda i avhandlingen är säkerhet vid backhaul av små celler. Utöver att skydda backhaul-länken själv så undersökte säkerhetsforskningen säkerheten av hela mobilnätsarkitekturen när små celler används i arkitekturen. En mekanism för att integrera säkra små celler i ett mobilnät utvecklades. De resultat som införskaffades under projektets genomförande kommer att användas som input till produktutvecklingsaktiviteter hos företaget som sponsrade projektet. Den resulterande produkten skulle kunna bli mål för framtida prestandamätningar av trådlösa system.
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Books on the topic "Performance of Heterogeneous networks"

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Kouvatsos, Demetres D. Traffic and Performance Engineering for Heterogeneous Networks. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339878.

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Kouvatsos, Demetres D. Performance Modelling and Analysis of Heterogeneous Networks. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339052.

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J, Dongarra J., ed. High performance heterogeneous computing. Hoboken, N.J: John Wiley, 2009.

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Yarvis, Mark D. Conductor: Distributed Adaptation for Heterogeneous Networks. Boston, MA: Springer US, 2002.

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Schmitt, Jens Burkhard. Heterogeneous Network Quality of Service Systems. Boston, MA: Springer US, 2001.

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Ismāʻīl, Muḥammad. Cooperative Networking in a Heterogeneous Wireless Medium. New York, NY: Springer New York, 2013.

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M, Ould-Khaoua, Caminero B, Association for Computing Machinery. Special Interest Group in Simulation., and IEEE Computer Society, eds. PM²HW²N 2006: Proceedings of ACM International Workshop on Performance Monitoring, Measurement, & Evaluation of Heterogeneous Wireless and Wired Networks : October 2, 2006, Torremolinos, Malaga, Spain. New York: Association for Computing Machinery, 2006.

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ACM, International Workshop on Performance Monitoring Measurement &. Evaluation of Heterogeneous Wireless and Wired Networks (2nd 2007 Chania Crete Island Greece). PM²HW²Nʹ07: Proceedings of the 2nd ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks : Chania, Crete Island, Greece, October 22, 2007. New York, N.Y: Association for Computing Machinery, 2007.

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Association for Computing Machinery. Special Interest Group in Simulation., ed. PM²HW²Nʹ07: Proceedings of the 2nd ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks : Chania, Crete Island, Greece, October 22, 2007. New York, N.Y: Association for Computing Machinery, 2007.

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ACM International Workshop on Performance Monitoring, Measurement, & Evaluation of Heterogeneous Wireless and Wired Networks (2nd 2007 Chania, Crete Island, Greece). PM²HW²Nʹ07: Proceedings of the 2nd ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks : Chania, Crete Island, Greece, October 22, 2007. New York, N.Y: Association for Computing Machinery, 2007.

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Book chapters on the topic "Performance of Heterogeneous networks"

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Zheng, Xiaoying, Jiantao Yu, Zhenzhen Wei, Honglin Hu, Yang Yang, and Hsiao-Hwa Chen. "Mobility Management and Performance Optimization in Next Generation Heterogeneous Mobile Networks." In Heterogeneous Cellular Networks, 165–97. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118555262.ch8.

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Ali, Racha Ben, and Samuel Pierre. "Modeling and Performance Analysis of Voice Admission Control in Next Generation Heterogeneous Mobile Networks." In Heterogeneous Wireless Access Networks, 1–25. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09777-0_9.

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Sethia, Divyashikha, and Huzur Saran. "Error Resilient Video Streaming for Heterogeneous Networks." In High Performance Computing - HiPC 2006, 326–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11945918_34.

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Beuran, Răzvan, Ken-ichi Chinen, Khin Thida Latt, Toshiyuki Miyachi, Junya Nakata, Lan Tien Nguyen, Yoichi Shinoda, and Yasuo Tan. "Application Performance Assessment on Wireless Ad Hoc Networks." In Technologies for Advanced Heterogeneous Networks II, 128–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11930181_10.

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Neuman, José, Serge Lalanne, Fouad Georges, and J. P. Claudé. "Performance Evaluation and Monitoring of Heterogeneous Networks." In Local Area Network Interconnection, 23–38. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2950-7_2.

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Wu, Huaqing, Feng Lyu, and Xuemin Shen. "Techniques for Content Delivery Performance Enhancement." In Mobile Edge Caching in Heterogeneous Vehicular Networks, 17–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88878-7_2.

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Kabaciński, Wojciech, and Mariusz Ẓal. "Performance Evaluation of log2 N Switching Networks." In Performance Modelling and Analysis of Heterogeneous Networks, 73–90. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339052-5.

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Clematis, A., B. Falcidieno, D. Fernandez Prieto, and M. Spagnuolo. "Parallel processing on heterogeneous networks for GIS applications." In High-Performance Computing and Networking, 67–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0046611.

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Ben Fredj, Ouissem, and Éric Renault. "Performance Evaluation of Distributed Computing over Heterogeneous Networks." In High Performance Computing and Communications, 53–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75444-2_11.

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Belzarena, P., P. Bermolen, P. Casas, and M. Simon. "Virtual Paths Networks Fast Performance Analysis." In Mobility Management and Quality-Of-Service for Heterogeneous Networks, 359–85. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338840-21.

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Conference papers on the topic "Performance of Heterogeneous networks"

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Bernaschi, M., F. Cacace, and G. Iannello. "Vertical handoff performance in heterogeneous networks." In Workshops on Mobile and Wireless Networking/High Performance Scientific, Engineering Computing/Network Design and Architecture/Optical Networks Control and Management/Ad Hoc and Sensor Networks/Compil. IEEE, 2004. http://dx.doi.org/10.1109/icppw.2004.1328002.

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Cai, Xuejun, Ling Chen, Rute Sofia, and Yanqi Wu. "Dynamic and User-Centric Network Selection in Heterogeneous Networks." In 2007 IEEE International Performance, Computing, and Communications Conference. IEEE, 2007. http://dx.doi.org/10.1109/pccc.2007.358937.

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Samundiswary, P., Padma Priyadarshini, and P. Dananjayan. "Performance Evaluation of Heterogeneous Sensor Networks." In 2009 International Conference on Future Computer and Communication (ICFCC). IEEE, 2009. http://dx.doi.org/10.1109/icfcc.2009.119.

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Elfadil, Husam Eldin, Mohammed Adil Ibrahim Ali, and Mohammed Abas. "Performance evaluation of Heterogeneous Networks schemes in LTE networks." In 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE). IEEE, 2015. http://dx.doi.org/10.1109/iccneee.2015.7381401.

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da Silva, Cristiano Maciel, and Wagner Meira. "Evaluating the Performance of Heterogeneous Vehicular Networks." In 2015 IEEE 82nd Vehicular Technology Conference (VTC Fall). IEEE, 2015. http://dx.doi.org/10.1109/vtcfall.2015.7390936.

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Huang, Qian, King-Tim Ko, Sammy Chan, and Villy Bæk Iversen. "Loss performance evaluation in heterogeneous hierarchical networks." In the International Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1506270.1506291.

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Himayat, Nageen, Shu-ping Yeh, Ali Y. Panah, Shilpa Talwar, Mikhail Gerasimenko, Sergey Andreev, and Yevgeni Koucheryavy. "Multi-radio heterogeneous networks: Architectures and performance." In 2014 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2014. http://dx.doi.org/10.1109/iccnc.2014.6785341.

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Ak, Serkan, Hazer Inaltekin, and H. Vincent Poor. "Downlink outage performance of heterogeneous cellular networks." In 2016 IEEE International Symposium on Information Theory (ISIT). IEEE, 2016. http://dx.doi.org/10.1109/isit.2016.7541572.

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Blaszczyszyn, Bartlomiej, Miodrag Jovanovic, and Mohamed Kadhem Karray. "Performance laws of large heterogeneous cellular networks." In 2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE, 2015. http://dx.doi.org/10.1109/wiopt.2015.7151124.

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Zeng, Guokai, Bo Wang, Matt Mutka, Li Xiao, and Eric Torng. "Efficient multicast for link-heterogeneous wireless mesh networks." In 2009 IEEE 28th International Performance Computing and Communications Conference (IPCCC). IEEE, 2009. http://dx.doi.org/10.1109/pccc.2009.5403817.

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Reports on the topic "Performance of Heterogeneous networks"

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Kim, Jong-Kook, Debra A. Hensgen, Taylor Kidd, Howard J. Siegel, and David St. John. A QoS Performance Measure Framework for Distributed Heterogeneous Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada423695.

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Kodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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Abstract:
The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project researches the operational performance of urban roads with heterogeneous traffic conditions to improve the mobility and reliability of people and goods. A 4-mile stretch of the Blue Line light rail transit (LRT) extension, which connects Old Concord Rd and the University of North Carolina at Charlotte’s main campus on N Tryon St in Charlotte, North Carolina, was considered for travel time reliability analysis. The influence of crosswalks, sidewalks, trails, greenways, on-street bicycle lanes, bus/LRT routes and stops/stations, and street network characteristics on travel time reliability were comprehensively considered from a multimodal perspective. Likewise, a 2.5-mile-long section of the Blue Line LRT extension, which connects University City Blvd and Mallard Creek Church Rd on N Tryon St in Charlotte, North Carolina, was considered for simulation-based operational analysis. Vissim traffic simulation software was used to compute and compare delay, queue length, and maximum queue length at nine intersections to evaluate the influence of vehicles, LRT, pedestrians, and bicyclists, individually and/or combined. The statistical significance of variations in travel time reliability were particularly less in the case of links on N Tryon St with the Blue Line LRT extension. However, a decrease in travel time reliability on some links was observed on the parallel route (I-85) and cross-streets. While a decrease in vehicle delay on northbound and southbound approaches of N Tryon St was observed in most cases after the LRT is in operation, the cross-streets of N Tryon St incurred a relatively higher increase in delay after the LRT is in operation. The current pedestrian and bicycling activity levels seemed insignificant to have an influence on vehicle delay at intersections. The methodological approaches from this research can be used to assess the performance of a transportation facility and identify remedial solutions from a multimodal perspective.
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Singh, V., M. Lentz, B. Bhattacharjee, R. J. La, and M. A. Shayman. Interference Management in Heterogeneous Networks. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada586700.

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Lazos, Loukas, and Radha Poovendran. Coverage in Heterogeneous Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada458986.

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Woods, John W., and Shivkumar Kalyanaraman. Streaming Video Compression for Heterogeneous Networks. Fort Belvoir, VA: Defense Technical Information Center, April 2004. http://dx.doi.org/10.21236/ada424493.

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Towsley, Don, Weibo Gong, Kris Hollot, Yong Liu, and Vishal Misra. Fluid Methods for Modeling Large, Heterogeneous Networks. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada437100.

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Tse, David, Piyush Gupta, and Devavrat Shah. Thermodynamics of Large-Scale Heterogeneous Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, March 2014. http://dx.doi.org/10.21236/ada601231.

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Wang, Helen J. Policy-Enabled Handoffs Across Heterogeneous Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada603915.

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Taban, Gelareh, and Rei Safavi-Naini. Key Establishment in Heterogeneous Self-Organized Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada466341.

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Grimm, Allen. An Exploration Of Heterogeneous Networks On Chip. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.185.

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