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A local-world heterogeneous model of wireless sensor networks with node and link diversity

Author

Listed:
  • Li, Shudong
  • Li, Lixiang
  • Yang, Yixian

Abstract

In this paper, we present a novel local-world model of wireless sensor networks (WSN) with two kinds of nodes: sensor nodes and sink nodes, which is different from other models with identical nodes and links. The model balances energy consumption by limiting the connectivity of sink nodes to prolong the life of the network. How the proportion of sink nodes, different energy distribution and the local-world scale would affect the topological structure and network performance are investigated. We find that, using mean-field theory, the degree distribution is obtained as an integral with respect to the proportion of sink nodes and energy distribution. We also show that, the model exhibits a mixed connectivity correlation which is greatly distinct from general networks. Moreover, from the perspective of the efficiency and the average hops for data processing, we find some suitable range of the proportion p of sink nodes would make the network model have optimal performance for data processing.

Suggested Citation

  • Li, Shudong & Li, Lixiang & Yang, Yixian, 2011. "A local-world heterogeneous model of wireless sensor networks with node and link diversity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1182-1191.
    • Handle: RePEc:eee:phsmap:v:390:y:2011:i:6:p:1182-1191
    DOI: 10.1016/j.physa.2010.11.034
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    Cited by:

    1. Xiong, Chong-Wei & Tang, Ming & Wang, Xiao-Hua & Liu, Ying & Shi, Jia, 2022. "Evolution model of high quality of service for spatial heterogeneous wireless sensor networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    2. Wang, Jianrong & Wang, Jianping & Han, Dun, 2017. "Nonlinear dynamic evolution and control in CCFN with mixed attachment mechanisms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 120-132.
    3. Ying Duan & Xiuwen Fu & Wenfeng Li & Yu Zhang & Giancarlo Fortino, 2017. "Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks," Complexity, Hindawi, vol. 2017, pages 1-15, July.
    4. Luo, Xiaojuan & Hu, Yuhen & Zhu, Yu, 2014. "Topology evolution model for wireless multi-hop network based on socially inspired mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 639-650.
    5. Jiang, Nan, 2014. "WDEM: Weighted dynamics and evolution models for energy-constrained wireless sensor networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 323-331.

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