Evolution model of high quality of service for spatial heterogeneous wireless sensor networks

Chong-Wei Xiong, Ming Tang, Xiao-Hua Wang, Ying Liu and Jia Shi

Physica A: Statistical Mechanics and its Applications, 2022, vol. 596, issue C

Abstract: The complex network theory is helpful to design the self-organizing evolution mechanism of the network and generate wireless sensor networks (WSNs) with high quality of service. Focusing on the heterogeneous WSNs, we firstly propose an evolution model based on the fitness model in complex network and then propose two self-organizing evolution models based on the topology hops for heterogeneous WSNs. By considering the topology hops in the self-organizing evolution mechanism, the two models can effectively reduce the reverse connection and balance the load of nodes around the sink in network evolution process. Simulation results show that compared with three classical models, the proposed models provide a higher quality of service, such as longer network lifetime, better energy-balanced factor, shorter shortest path length and stronger robustness against malicious attacks. Our self-organizing evolution models provide a new perspective and reference for the design of heterogeneous WSNs with high quality of service.

Keywords: Wireless sensor networks; Complex network; Self-organizing mechanism; Quality of service (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:596:y:2022:i:c:s0378437122001820

DOI: 10.1016/j.physa.2022.127182

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