Journal ArticleDOI
C-POEM: comprehensive performance optimization evaluation model for wireless sensor networks
Nan Jiang,Bin Li,Pan Ping'an,Tao Wan,Lingfeng Liu +4 more
- Vol. 21, Iss: 12, pp 3377-3385
TLDR
A comprehensive performance optimization evaluation model based on complex network theory is proposed and a relevant optimization algorithm is proposed, which bears a number of merits such as low complexity and competitive performance.Abstract:
Performance optimization is one of the core issues in wireless sensor networks (WSNs). The existing efforts on performance optimization mainly consist of two research themes: power control and sleep scheduling. A well-designed network performance optimization method is not only close to the actual but also has good generality. There are many aspects that need to be studied. This paper aims to pursue a trade-off between network comprehensive performance and survival time by employing gain and cost to characterize the whole network performance. Towards this goal, a comprehensive performance optimization evaluation model based on complex network theory is proposed. In addition, a relevant optimization algorithm is proposed, which bears a number of merits such as low complexity and competitive performance. Simulation results show that WSNs have the best network average degree to make network obtain maximum income.read more
Citations
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An Optimization Routing Algorithm Based on Segment Routing in Software-Defined Networks.
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A Safety Collision Avoidance Algorithm Based on Comprehensive Characteristics
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Research and Application of Anomaly Detection of Industrial Control System Based on Improved Zoe Algorithm
TL;DR: An improved Zoe algorithm is proposed that can achieve higher detection rate and lower false positive rate of anomaly detection in industrial control systems.
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Research on the Evaluation Model for Wireless Sensor Network Performance Based on Mixed Multiattribute Decision-Making
TL;DR: In this paper, an indicator selection method and an objective weighting method based on intuitionistic fuzzy entropy are proposed to evaluate WSN performance objectively, which can help the decision-maker to find the deficiency of the current WSN or seek the best WSN.
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