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

Shuguang Deng, Buwen Cao, Xiang Xiao, Hua Qin and Bing Yang

International Journal of Distributed Sensor Networks, 2020, vol. 16, issue 4, 1550147720914511

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.

Keywords: Multiple channels; cognitive routing; optimization protocol; network throughput; network lifetime (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:16:y:2020:i:4:p:1550147720914511

DOI: 10.1177/1550147720914511

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