Node placement for wireless mesh networks: Analysis of WMN-GA system simulation results for different parameters and distributions

Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is base...

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Published in:	Journal of computer and system sciences Vol. 81; no. 8; pp. 1496 - 1507
Main Authors:	Barolli, Admir, Oda, Tetsuya, Ikeda, Makoto, Barolli, Leonard, Xhafa, Fatos, Loia, Vincenzo
Format:	Journal Article Publication
Language:	English
Published:	Elsevier Inc 01.12.2015
Subjects:	Algorismes computacionals Computer algorithms Computer network protocols Comunicació sense fil, Sistemes de Enginyeria de la telecomunicació HWMP Mesh network ns-3 Protocols de xarxes d'ordinadors Simulation Telemàtica i xarxes d'ordinadors Wireless communication systems Àrees temàtiques de la UPC Mesh network HWMP ns-3 GA Simulation
ISSN:	0022-0000, 1090-2724
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Abstract	Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of four different distributions of mesh clients (Normal, Uniform, Exponential and Weibull) considering Packet Delivery Ratio (PDR), throughput and delay metrics. For simulations, we used ns-3 and Hybrid Wireless Mesh Protocol (HWMP) and sent multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the implemented system can be used successfully for router placement in WMNs. •We address the problem of mesh routers placement in WMNs.•The problem is formulated as a bi-objective optimization problem.•It aims to maximize network connectivity and user coverage in WMNs.•It is an NP-hard problem and is solved by a Genetic Algorithm.•The WMN-GA system can be used successfully for router placement in WMNs.
AbstractList	Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of four different distributions of mesh clients (Normal, Uniform, Exponential and Weibull) considering Packet Delivery Ratio (PDR), throughput and delay metrics. For simulations, we used ns-3 and Hybrid Wireless Mesh Protocol (HWMP) and sent multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the implemented system can be used successfully for router placement in WMNs. Peer Reviewed Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of four different distributions of mesh clients (Normal, Uniform, Exponential and Weibull) considering Packet Delivery Ratio (PDR), throughput and delay metrics. For simulations, we used ns-3 and Hybrid Wireless Mesh Protocol (HWMP) and sent multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the implemented system can be used successfully for router placement in WMNs. •We address the problem of mesh routers placement in WMNs.•The problem is formulated as a bi-objective optimization problem.•It aims to maximize network connectivity and user coverage in WMNs.•It is an NP-hard problem and is solved by a Genetic Algorithm.•The WMN-GA system can be used successfully for router placement in WMNs.
Author	Barolli, Leonard Ikeda, Makoto Loia, Vincenzo Xhafa, Fatos Barolli, Admir Oda, Tetsuya
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SubjectTerms	Algorismes computacionals Computer algorithms Computer network protocols Comunicació sense fil, Sistemes de Enginyeria de la telecomunicació HWMP Mesh network ns-3 Protocols de xarxes d'ordinadors Simulation Telemàtica i xarxes d'ordinadors Wireless communication systems Àrees temàtiques de la UPC
Title	Node placement for wireless mesh networks: Analysis of WMN-GA system simulation results for different parameters and distributions
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