Relevant bibliographies by topics / Heterogenous Networks

Academic literature on the topic 'Heterogenous Networks'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Heterogenous Networks"

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Kubde, Vidya Sachin, and Sudhir D. Sawarkar. "Exploring Multipath TCP Schedulers in Heterogeneous Networks." International Journal of Information Communication Technologies and Human Development 14, no. 1 (January 2022): 1–11. http://dx.doi.org/10.4018/ijicthd.295857.

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Multipath Transmission Control Protocol (MPTCP) is a transport layer protocol, which transmits TCP segments on more than one path, in multihomed devices. It was designed with the aim of Bandwidth aggregation and redundant connections. Currently, multihomed devices have wireless interfaces of heterogeneous nature. MPTCP is not able to give its optimal performance in heterogeneous networks. This paper presents an experimental performance study of four different schedulers, namely Roundrobin, Default, Blest, and Redundant. Our testbed comprises Ethernet, LTE, and Wifi networks to connect multihomed devices. We have compared the scheduler performance in terms of Throughput , Download time and path utilization rate in homogenous and heterogenous scenarios . Results showed that Round robin provides optimal throughput in homogenous networks and also performs bandwidth aggregation by utilizing both the paths but fails to perform in heterogenous networks. Blest, provides best throughput among the four schedulers but prefers fast path only.
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Naylor, T., A. Allan, and I. A. Steele. "Heterogenous telescope networks: An introduction." Astronomische Nachrichten 327, no. 8 (September 2006): 741–43. http://dx.doi.org/10.1002/asna.200610624.

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DURRESI, ARJAN, VAMSI PARUCHURI, and RAJ JAIN. "GEOMETRIC BROADCAST PROTOCOL FOR HETEROGENEOUS SENSOR NETWORKS." Journal of Interconnection Networks 06, no. 03 (September 2005): 193–207. http://dx.doi.org/10.1142/s0219265905001381.

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We present Geometric Broadcast for Heterogeneous Sensor Networks (GBS), a novel broadcasting protocol for heterogeneous wireless sensor and actor networks. While broadcasting is a very energy expensive protocol, it is also widely used as a building block for a variety of other network layer protocols. Therefore, reducing the energy consumption by optimizing broadcasting is a major improvement in heterogenous sensor networking. GBS is a distributed algorithm where nodes make local decisions on whether to transmit based on a geometric approach. GBS does not need any neighborhood information and imposes very low communication overhead. GBS is scalable to the change in network size, node type, node density and topology. Furthermore it accommodates seamlessly such network changes, including the presence of actors in heterogeneous sensor networks. Indeed, GBS takes advantage of actor nodes, and uses their resources when possible, thus reducing the energy consumption by sensor nodes. Through simulation evaluations, we show that GBS is very scalable and its performance is improved by the presence of actors. At the best of our knowledge, GBS is the first broadcast protocol designed specifically for heterogeneous sensor and actor networks.
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Hauge, Mariann, Lars Landmark, Piotr Łubkowski, Marek Amanowicz, and Krzysztof Maślanka. "Selected Issues of QoS Provision in Heterogenous Military Networks." International Journal of Electronics and Telecommunications 60, no. 1 (March 1, 2014): 1–7. http://dx.doi.org/10.2478/eletel-2014-0001.

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Abstract Tactical ad-hoc networks are evolving today towards complex heterogeneous networks in terms of architecture, protocols and security. Due to the difference in network resources and reliability, end-to-end quality of service provisioning becomes very challenging. If we also take into account communication issues such as unpredictable connectivity, preferential forwarding for special traffic classes, intermittency due to node or communication link failure, the problem is further aggravated. In this article, we examine the major challenges that must be solved in order to provide efficient QoS provisioning in the heterogeneous network. Finally we describe QoS-aware mechanisms for inter-domain and intra-domain heterogeneous networks, also including real-time services provision in highly mobile environments.
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Hardjawana, Wibowo, and Branka Vucetic. "Discrete Power Control in Heterogenous Networks." Makara Journal of Technology 20, no. 1 (April 26, 2016): 31. http://dx.doi.org/10.7454/mst.v20i1.3053.

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Hardjawana, Wibowo, and Branka Vucetic. "Discrete Power Control in Heterogenous Networks." Makara Journal of Technology 20, no. 1 (April 26, 2016): 31. http://dx.doi.org/10.7454/mst.v20i1.3121.

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Ben-Zion, Yossi, Yahel Cohen, and Nadav M. Shnerb. "Modeling epidemics dynamics on heterogenous networks." Journal of Theoretical Biology 264, no. 2 (May 2010): 197–204. http://dx.doi.org/10.1016/j.jtbi.2010.01.029.

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WANG, JIAN-WEI. "ROBUSTNESS OF HETEROGENOUS NETWORKS WITH MITIGATION STRATEGY AGAINST CASCADING FAILURES." Modern Physics Letters B 26, no. 14 (May 14, 2012): 1250087. http://dx.doi.org/10.1142/s021798491250087x.

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The network disaster induced by cascading failures has traumatized modern societies. How to protect these networks and improve their robustness against cascading failures has become the key issue. To this end, we construct a cascading model and propose an efficient mitigation strategy against cascading failures. In many real-world networks, there exist some heterogeneous nodes, for example the hosts and the routers in the Internet, and the users and the supply-grid stations in the power grid. In previous studies, however, less cascading models were constructed to describe such fact. Including two types of nodes in a network, we present a new cascading model. We introduce a new mitigation strategy with dynamically adjusting the load and demonstrate its efficiency on the Barabási–Albert (BA) network and the power grid as well as the Internet. We show that with small changes in dynamically adjusting the load the robustness of these networks can be improved dramatically. Our results are useful not only for protecting networks from the local perspective, but also for significantly improving the robustness of the existing infrastructure networks.
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Khan, Shafiullah, Muhammad Muneer Umar, Chunhua Jin, Shaozhang Xiao, Zeeshan Iqbal, and Noha Alnazzawi. "Game-Theory-Based Multimode Routing Protocol for Internet of Things." Electronics 11, no. 24 (December 12, 2022): 4134. http://dx.doi.org/10.3390/electronics11244134.

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Various routing protocols have been proposed for ad hoc networks such as the Internet of Things (IoT). Most of the routing protocols introduced for IoT are specific to applications and networks. In the current literature, it is essential to configure all the network nodes with a single proposed protocol. Moreover, it is also possible for a single IoT network to consist of different kinds of nodes. Two or more IoT networks can also be connected to create a bigger heterogeneous network. Such networks may need various routing protocols with some gateway nodes installed. The role of gateway nodes should not be limited to the interconnection of different nodes. In this paper, a multi-mode hybrid routing mechanism is proposed that can be installed on all or a limited number of nodes in a heterogenous IoT network. The nodes configured with the proposed protocols are termed smart nodes. These nodes can be used to connect multiple IoT networks into one. Furthermore, a game-theory-based model is proposed that is used for intercommunication among the smart nodes to gain optimal efficiency. Various performance matrices are assessed under different network scenarios. The simulation results show that the proposed mechanism outperforms in broader heterogeneous IoT networks with diverse nodes.
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Li, Shudong, Zhongtian Jia, Aiping Li, Lixiang Li, Xinran Liu, and Yixian Yang. "Cascading Dynamics of Heterogenous Scale-Free Networks with Recovery Mechanism." Abstract and Applied Analysis 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/453689.

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In network security, how to use efficient response methods against cascading failures of complex networks is very important. In this paper, concerned with the highest-load attack (HL) and random attack (RA) on one edge, we define five kinds of weighting strategies to assign the external resources for recovering the edges from cascading failures in heterogeneous scale-free (SF) networks. The influence of external resources, the tolerance parameter, and the different weighting strategies on SF networks against cascading failures is investigated carefully. We find that, under HL attack, the fourth kind of weighting method can more effectively improve the integral robustness of SF networks, simultaneously control the spreading velocity, and control the outburst of cascading failures in SF networks than other methods. Moreover, the third method is optimal if we only knew the local structure of SF networks and the uniform assignment is the worst. The simulations of the real-world autonomous system in, Internet have also supported our findings. The results are useful for using efficient response strategy against the emergent accidents and controlling the cascading failures in the real-world networks.
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Dissertations / Theses on the topic "Heterogenous Networks"

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Johansson, Klas. "Cost Effective Deployment Strategies for Heterogenous Wireless Networks." Doctoral thesis, KTH, Kommunikationssystem, CoS, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4563.

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Wireless access to the Internet is expected to be very valuable for both individuals and the society. However, advances in transmission technology alone may not be sufficient to support the anticipated demand for higher data rates and greater traffic volumes. Fortunately, a low cost means of increasing capacity is to match wireless infrastructures to the non-uniform spatial distribution of traffic. Multiple radio access standards and base station classes, having different cost and performance, could be combined to create a heterogeneous wireless access network which provides the required data rates and capacities where needed (or desired). In the case of a non-uniform spatial distribution of traffic, the traditional technical performance measures of coverage and capacity are no longer adequate for comparing the cost effectiveness of different network configurations. Therefore in this dissertation, we propose a general methodology to evaluate the total cost and capacity of heterogeneous networks. Moreover, a few promising capacity expansion paths, including multiple cellular standards as well as wireless local area network technologies, have been evaluated for urban scenarios. While results show that macro cellular systems are the most cost effective solution for a uniform spatial traffic distribution, a complementary hot spot layer is for non-uniform traffic distributions required even at a moderate average traffic density. The incremental cost, which is modest as compared to current revenues for operators, is shown to be quite insensitive to the choice of technology used in the hot spot layer. Moreover, if high data rates are demanded on the uplink, then dedicated indoor solutions are required. Which in turn implies that network providers should exploit existing broadband infrastructures to provide the required backhaul connectivity. In order to address non-urban scenarios, especially in sparsely populated areas, where there is insufficient revenue to support multiple independent networks, a multi-operator network sharing network architecture should be employed. This dissertation proposes a priority queuing method to achieve fair sharing of radio resources between operators in such an architecture.
QC 20100730
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Nguyen, Viên. "The Trouble with Diversity: Fork-Join Networks with Heterogenous Customer Population." Massachusetts Institute of Technology, Operations Research Center, 1992. http://hdl.handle.net/1721.1/5406.

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Consider a feedforward network of single-server stations populated by multiple job types. Each job requires the completion of a number of tasks whose order of execution is determined by a set of deterministic precedence constraints. The precedence requirements allow some tasks to be done in parallel (in which case tasks would "fork") and require that others be processed sequentially (where tasks may "join"). Jobs of a. given type share the same precedence constraints, interarrival time distributions, and service time distributions, but these characteristics may vary across different job types. We show that the heavy traffic limit of certain processes associated with heterogeneous fork-join networks can be expressed as a semimartingale reflected Brownian motion with polyhedral state space. The polyhedral region typically has many more faces than its dimension, and the description of the state space becomes quite complicated in this setting. One can interpret the proliferation of additional faces in heterogeneous fork-join networks as (i) articulations of the fork and join constraints, and (ii) results of the disordering effects that occur when jobs fork and join in their sojourns through the network.
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Al-Yasir, Yasir, Ahmed M. Abdulkhaleq, Naser O. Parchin, Issa T. Elfergani, J. Rodriguez, James M. Noras, Raed A. Abd-Alhameed, A. Rayit, and Rami Qahwaji. "Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks." IEEE, 2021. http://hdl.handle.net/10454/18574.

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Yes
The paper presents the general requirements and an exemplary design of the RF front-end system that in today´s handset is a key consumer of power. The design is required to minimize the carbon footprint in mobile handsets devices, whilst facilitating cooperation, and providing the energy-efficient operation of multi-standards for 5G communications. It provides the basis of hardware solutions for RF front-end integration challenges and offers design features covering energy efficiency for power amplifiers (PAs), Internet of Things (IoT) controlled tunable filters and compact highly isolated multiple-input and multiple-output (MIMO) antennas. An optimum design requires synergetic collaboration between academic institutions and industry in order to satisfy the key requirements of sub-6 GHz energy-efficient 5G transceivers, incorporating energy efficiency, good linearity and the potential for low-cost manufacturing. A highly integrated RF transceiver was designed and implemented to transmit and receive a picture using compact MIMO antennas integrated with efficient tunable filters and high linearity PAs. The proposed system has achieved a bit error rate (BER) of less than 10-10 at a data rate of 600 Mb/s with a wireless communication distance of more than 1 meter and power dissipation of 18-20 mW using hybrid beamforming technology and 64-QAM modulation.
10.13039/100010665-H2020 Marie Skodowska Curie
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Al-Yasir, Yasir I. A., Ahmed M. Abdulkhaleq, Naser O. Parchin, I. T. Elfergani, J. Rodriguez, James M. Noras, Raed A. Abd-Alhameed, A. Rayit, and Rami Qahwaji. "Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks." IEEE, 2007. http://hdl.handle.net/10454/18574.

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Yes
The paper presents the general requirements and an exemplary design of the RF front-end system that in today´s handset is a key consumer of power. The design is required to minimize the carbon footprint in mobile handsets devices, whilst facilitating cooperation, and providing the energy-efficient operation of multi-standards for 5G communications. It provides the basis of hardware solutions for RF front-end integration challenges and offers design features covering energy efficiency for power amplifiers (PAs), Internet of Things (IoT) controlled tunable filters and compact highly isolated multiple-input and multiple-output (MIMO) antennas. An optimum design requires synergetic collaboration between academic institutions and industry in order to satisfy the key requirements of sub-6 GHz energy-efficient 5G transceivers, incorporating energy efficiency, good linearity and the potential for low-cost manufacturing. A highly integrated RF transceiver was designed and implemented to transmit and receive a picture using compact MIMO antennas integrated with efficient tunable filters and high linearity PAs. The proposed system has achieved a bit error rate (BER) of less than 10-10 at a data rate of 600 Mb/s with a wireless communication distance of more than 1 meter and power dissipation of 18-20 mW using hybrid beamforming technology and 64-QAM modulation.
10.13039/100010665-H2020 Marie Skodowska Curie
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5

Al-Yasir, Yasir, Ahmed M. Abdulkhaleq, Naser O. Parchin, I. T. Elfergani, J. Rodriguez, James M. Noras, Raed A. Abd-Alhameed, A. Rayit, and Rami Qahwaji. "Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks." IEEE, 2021. http://hdl.handle.net/10454/18574.

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Yes
The paper presents the general requirements and an exemplary design of the RF front-end system that in today´s handset is a key consumer of power. The design is required to minimize the carbon footprint in mobile handsets devices, whilst facilitating cooperation, and providing the energy-efficient operation of multi-standards for 5G communications. It provides the basis of hardware solutions for RF front-end integration challenges and offers design features covering energy efficiency for power amplifiers (PAs), Internet of Things (IoT) controlled tunable filters and compact highly isolated multiple-input and multiple-output (MIMO) antennas. An optimum design requires synergetic collaboration between academic institutions and industry in order to satisfy the key requirements of sub-6 GHz energy-efficient 5G transceivers, incorporating energy efficiency, good linearity and the potential for low-cost manufacturing. A highly integrated RF transceiver was designed and implemented to transmit and receive a picture using compact MIMO antennas integrated with efficient tunable filters and high linearity PAs. The proposed system has achieved a bit error rate (BER) of less than 10-10 at a data rate of 600 Mb/s with a wireless communication distance of more than 1 meter and power dissipation of 18-20 mW using hybrid beamforming technology and 64-QAM modulation.
10.13039/100010665-H2020 Marie Skodowska Curie
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Detamore, Mathias J. "Paradox and the city a margin for the heterogenous connection of urban networks /." Cincinnati, Ohio : University of Cincinnati, 2005. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1116214501.

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Thesis (Master of Architecture)--University of Cincinnati, 2005.
Title from electronic thesis title page (viewed Jul. 10, 2006). Includes abstract. Keywords: Left-over urban space; paradox; margin; Thirdspace; Connection; Mobility; Heterogeneous; Space; Network. Includes bibliographical references.
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Chan, Siu-Yuen. "Efficent user level infrastructure support for adaptive parallel computing on heterogenous networks of workstations." Thesis, Queensland University of Technology, 2000.

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Sun, Chang. "Scalability Analysis of Synchronous Data-Parallel Artificial Neural Network (ANN) Learners." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85020.

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Artificial Neural Networks (ANNs) have been established as one of the most important algorithmic tools in the Machine Learning (ML) toolbox over the past few decades. ANNs' recent rise to widespread acceptance can be attributed to two developments: (1) the availability of large-scale training and testing datasets; and (2) the availability of new computer architectures for which ANN implementations are orders of magnitude more efficient. In this thesis, I present research on two aspects of the second development. First, I present a portable, open source implementation of ANNs in OpenCL and MPI. Second, I present performance and scaling models for ANN algorithms on state-of-the-art Graphics Processing Unit (GPU) based parallel compute clusters.
Master of Science
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Xu, Yiran. "Quality of Experience Aware Spectrum Efficiency and Energy Efficiency Over Wireless Heterogeneous Networks." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4664.

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Propelled by the explosive increases in mobile data traffic volume, existing wireless technologies are stretched to their capacity limits. There is a tremendous need for an expansion in system capacity and an improvement on energy efficiency. In addition, wireless network will support more and more multimedia services and applications, in which user experience has been always an important factor in evaluating the overall network performance. In order to keep pace with this explosion of data traffic and to meet the emerging quality of experience needs, wireless heterogeneous networks have been introduced as a promising network architecture evolution of the traditional cellular network. In this dissertation, we explore video quality-aware spectrum efficiency and energy efficiency in wireless heterogeneous networks|the potentials and the associated technical challenges. In particular, aiming to significantly enhance spectrum efficiency, we need to tackle the interference issue, which is exacerbated in heterogeneous network due to ultra dense node deployment as well as heterogeneity nature of various nodes. Specifically, werst study an optimal intra-cell inter-tier cooperation to mitigate interference between high power nodes and low power nodes. Together with cooperation, optimal mobile association and resource allocation schemes are also intensively investigated in heterogeneous network to achieve system load balancing so that bandwidth at high power and low power nodes can be utilized in the optimal way. The proposed scheme can greatly alleviate inter-tier interference and significantly increase overall system spectrum efficiency in a heterogeneous network. We then further apply advanced algorithms such as precoding, and non-orthogonal multiple access into intra-cell inter-tier cooperation so that the overall system spectrum efficiency and user experience are even more improved. When supporting a video type application in such a heterogeneous network, considering only spectrum efficiency is far from enough as video application is bandwidth consuming, battery consuming, and quality demanding. We develop a video quality-aware spectrum and energy efficiency resource allocation scheme in a wireless heterogeneous network and propose novel performance metrics to establish fundamental relationships among spectrum efficiency, energy efficiency, and quality of experience. Extensive simulations are conducted to evaluate the trade-o performance among three performance metrics.
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Alkhawlani, Mohammed Mohssen. "Access network selection in heterogeneous networks." Thesis, De Montfort University, 2008. http://hdl.handle.net/2086/5217.

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The future Heterogeneous Wireless Network (HWN) is composed of multiple Radio Access Technologies (RATs), therefore new Radio Resource Management (RRM) schemes and mechanisms are necessary to benefit from the individual characteristics of each RAT and to exploit the gain resulting from jointly considering the whole set of the available radio resources in each RAT. These new RRM schemes have to support mobile users who can access more than one RAT alternatively or simultaneously using a multi-mode terminal. An important RRM consideration for overall HWN stability, resource utilization, user satisfaction, and Quality of Service (QoS) provisioning is the selection of the most optimal and promising Access Network (AN) for a new service request. The RRM mechanism that is responsible for selecting the most optimal and promising AN for a new service request in the HWN is called the initial Access Network Selection (ANS). This thesis explores the issue of ANS in the HWN. Several ANS solutions that attempt to increase the user satisfaction, the operator benefits, and the QoS are designed, implemented, and evaluated. The thesis first presents a comprehensive foundation for the initial ANS in the H\VN. Then, the thesis analyses and develops a generic framework for solving the ANS problem and any other similar optimized selection problem. The advantages and strengths of the developed framework are discussed. Combined Fuzzy Logic (FL), Multiple Criteria Decision Making (MCDM) and Genetic Algorithms (GA) are used to give the developed framework the required scalability, flexibility, and simplicity. The developed framework is used to present and design several novel ANS algorithms that consider the user, the operator, and the QoS view points. Different numbers of RATs, MCDM tools, and FL inference system types are used in each algorithm. A suitable simulation models over the HWN with a new set of performance evolution metrics for the ANS solution are designed and implemented. The simulation results show that the new algorithms have better and more robust performance over the random, the service type, and the terminal speed based selection algorithms that are used as reference algorithms. Our novel algorithms outperform the reference algorithms in- terms of the percentage of the satisfied users who are assigned to the network of their preferences and the percentage of the users who are assigned to networks with stronger signal strength. The new algorithms maximize the operator benefits by saving the high cost network resources and utilizing the usage of the low cost network resources. Usually better results are achieved by assigning the weights using the GA optional component in the implemented algorithms.
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Books on the topic "Heterogenous Networks"

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Bhushan, Bharat. Application of co-operative working to the management of a heterogenous distributed system. Dublin: University College Dublin, 1997.

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Mellouk, Abdelhamid, ed. End-to-End Quality of Service Engineering in Next Generation Heterogenous Networks. London, UK: ISTE, 2009. http://dx.doi.org/10.1002/9780470611470.

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Baalbergen, E. H. SPINE: Software platform for computer supported co-operative work in heterogenous computer and software environments. Amsterdam: National Aerospace Laboratory, 1994.

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Zheng, Kan, Lin Zhang, Wei Xiang, and Wenbo Wang. Heterogeneous Vehicular Networks. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25622-1.

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Chu, Xiaoli, David Lopez-Perez, Yang Yang, and Fredrik Gunnarsson, eds. Heterogeneous Cellular Networks. Cambridge: Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9781139149709.

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Hu, Rose Qingyang, and Yi Qian, eds. Heterogeneous Cellular Networks. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118555262.

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Rong, Bo, Xuesong Qiu, Michel Kadoch, Songlin Sun, and Wenjing Li. 5G Heterogeneous Networks. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39372-8.

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Marchese, Mario. QoS over heterogeneous networks. Chichester: John Wiley & Sons, 2007.

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Marchese, Mario. QoS Over Heterogeneous Networks. Chichester, UK: John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470058763.

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Ismail, Muhammad, Muhammad Zeeshan Shakir, Khalid A. Qaraqe, and Erchin Serpedin. Green Heterogeneous Wireless Networks. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119088042.

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Book chapters on the topic "Heterogenous Networks"

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Wang, Tianyu, Lingyang Song, Walid Saad, and Zhu Han. "Interference Management in Heterogenous Networks." In SpringerBriefs in Electrical and Computer Engineering, 11–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25700-6_2.

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Cambrosio, Alberto, Pascal Cottereau, Stefan Popowycz, Andrei Mogoutov, and Tania Vichnevskaia. "Analysis of Heterogenous Networks: TheReseauLuProject." In Digital Cognitive Technologies, 137–52. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118599761.ch9.

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Bossardt, Matthias, Lukas Ruf, Bernhard Plattner, and Rolf Stadler. "A Service Deployment Architecture for Heterogenous Active Networks Nodes." In Smart Networks, 37–50. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35584-9_3.

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Deshpande, Mayur, Nalini Venkatasubramanian, and Sharad Mehrotra. "Heuristics for Flash-Dissemination in Heterogenous Networks." In High Performance Computing - HiPC 2006, 607–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11945918_57.

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Sanchez-Loro, Xavier, Josep Paradells, Jordi Casademont, and José Luís Ferrer. "Optimizing the Delivery Chain in Heterogenous Networks." In Lecture Notes in Computer Science, 207–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21560-5_18.

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Khuller, Samir, Yoo-Ah Kim, and Gerhard Woeginger. "Approximation Schemes for Broadcasting in Heterogenous Networks." In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 163–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27821-4_15.

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Zhan, Qianyi, Jiawei Zhang, Senzhang Wang, Philip S. Yu, and Junyuan Xie. "Influence Maximization Across Partially Aligned Heterogenous Social Networks." In Advances in Knowledge Discovery and Data Mining, 58–69. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18038-0_5.

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He, Shiming, Kun Xie, and Dafang Zhang. "Completion Time-Aware Flow Scheduling in Heterogenous Networks." In Algorithms and Architectures for Parallel Processing, 492–507. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27119-4_34.

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Phuthego, Father, and Fadi Al-Turjman. "Intelligent Mobile Application for Crime Reporting in the Heterogenous IoT Era." In Real-Time Intelligence for Heterogeneous Networks, 149–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75614-7_10.

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Grochla, Krzysztof, and Piotr Stolarz. "Extending the TLS Protocol by EAP Handshake to Build a Security Architecture for Heterogenous Wireless Network." In Computer Networks, 258–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38865-1_27.

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Conference papers on the topic "Heterogenous Networks"

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Wu, Liang, Yi Zhong, Wenyi Zhang, and Martin Haenggi. "Scalable transmission over heterogenous 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.2015.7151106.

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McArthur, T., and H. H. Ali. "Heterogenous Task Allocation with Constraints." In Parallel and Distributed Computing and Networks. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.676-086.

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Tang, Jie, Tiancheng Lou, and Jon Kleinberg. "Inferring social ties across heterogenous networks." In the fifth ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2124295.2124382.

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Adarsh, Vivek, Paul Schmitt, and Elizabeth Belding. "MPTCP Performance over Heterogenous Subpaths." In 2019 28th International Conference on Computer Communication and Networks (ICCCN). IEEE, 2019. http://dx.doi.org/10.1109/icccn.2019.8847086.

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Zhou, Zhao, Shu Lin, and Yugeng Xi. "A dynamic network partition method for heterogenous urban traffic networks." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338712.

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Chen, Kang, and Dehong Qiu. "Combined Metapath Based Attention Network for Heterogenous Networks Node Classification." In AISS 2021: 2021 3rd International Conference on Advanced Information Science and System. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3503047.3503109.

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Bahceci, I. "Distributed CoMP set selection for heterogenous networks." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531390.

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Davaslioglu, K., and E. Ayanoglu. "Interference-based cell selection in heterogenous networks." In 2013 Information Theory and Applications Workshop (ITA 2013). IEEE, 2013. http://dx.doi.org/10.1109/ita.2013.6502931.

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Abouelseoud, Mohamed, and Aria Nosratinia. "Hybrid relay selection in heterogenous relay networks." In 2010 44th Asilomar Conference on Signals, Systems and Computers. IEEE, 2010. http://dx.doi.org/10.1109/acssc.2010.5757861.

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Monger, Andreas, Marc Fouquet, Christian Hoene, Georg Carle, and Morten Schlager. "A metering infrastructure for heterogenous mobile networks." In 2009 First International Communication Systems and Networks and Workshops (COMSNETS). IEEE, 2009. http://dx.doi.org/10.1109/comsnets.2009.4808886.

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Reports on the topic "Heterogenous Networks"

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Chung, Haera. Optimal Network Topologies and Resource Mappings for Heterogeneous Networks-on-Chip. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.997.

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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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Rego, Vernon. Enabling Technologies for Collaborative Simulators on Heterogeneous Networks. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada396403.

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You might also be interested in the extended bibliographies on the topic 'Heterogenous Networks' for particular source types:
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