Performance Evaluation of Wireless Communication Networks for Multi-Traffic with Multi-Channel

Ma, Zhanyou; Yue, Wuyi; Tian, Naishuo

doi:10.1109/wcnc.2009.4917897

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…In objective evaluation, in the literature [3], the authors propose a mathematical analysis method for the analysis and evaluation of the average queue length and waiting time of the data packets in wireless sensor networks with multiple channels and admission control schemes. In literature [4], the author established a real environment, so the wireless sensor network based on 802.15.4 IEEE conducted a preliminary assessment of the performance evaluation indicators, including the data throughput and the received signal strength.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Wireless Sensor Networks Based on Entropy Weight and AHP

Jia¹,

Huang

Zhang

2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-Wireless sensor networks (WSNs) have been widely used in many fields. However, it is difficult to detect WSNs performance status directly. Therefore, a reasonable network performance evaluation system can help to detect and maintain the WSN, so as to ensure the normal operation of the wireless sensor networks. However, the current methods for performance evaluation of wireless sensor networks mainly focus on a single subjective evaluation or objective evaluation, with a certain degree of one-sidedness. Therefore, this paper presents an objective and subjective evaluation model based on the entropy weight method and the AHP to evaluate the throughput, packet loss rate and transmission delay of each path of the WSNs synthetically. According to the experimental results, this model evaluates the network quality of each path in the simulation network systematically, which not only reflects the difference of network quality among different paths, but also provides a solid theoretical foundation for network performance optimization and promotion.

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Section: Introductionmentioning

confidence: 99%