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Cognitive routing optimization protocol based on multiple channels in wireless sensor networks

Author

Listed:
  • Shuguang Deng
  • Buwen Cao
  • Xiang Xiao
  • Hua Qin
  • Bing Yang

Abstract

With the development of modern communication, available spectrum resources are becoming increasingly scarce, which reduce network throughput. Moreover, the mobility of nodes results in the changes of network topological structure. Hence, a considerable amount of control information is consumed, which causes a corresponding increase in network power consumption and exerts a substantial impact on network lifetime. To solve the real-time transmission problem in large-scale wireless mobile sensor networks, opportunistic spectrum access is applied to adjust the transmission power of sensor nodes and the transmission velocity of data. A cognitive routing and optimization protocol based on multiple channels with a cross-layer design is proposed to study joint optimal cognitive routing with maximizing network throughput and network lifetime. Experimental results show that the cognitive routing and optimization protocol based on multiple channels achieves low computational complexity, which maximizes network throughput and network lifetime. This protocol can be also effectively applied to large-scale wireless mobile sensor networks.

Suggested Citation

  • Shuguang Deng & Buwen Cao & Xiang Xiao & Hua Qin & Bing Yang, 2020. "Cognitive routing optimization protocol based on multiple channels in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 16(4), pages 15501477209, April.
    • Handle: RePEc:sae:intdis:v:16:y:2020:i:4:p:1550147720914511
    DOI: 10.1177/1550147720914511
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    Cited by:

    1. Hong Zhang & Shigen Shen & Qiying Cao & Xiaojun Wu & Shaofeng Liu, 2020. "Modeling and analyzing malware diffusion in wireless sensor networks based on cellular automaton," International Journal of Distributed Sensor Networks, , vol. 16(11), pages 15501477209, November.

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