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.
Highlights
With the development of modern communication, available spectrum resources are becoming increasingly scarce, which reduce network throughput
A multiple-channel cognitive routing optimization protocol is proposed in the current work for selecting spectrum while maximizing network lifetime and throughput in large-scale wireless mobile sensor networks
In equations (6)–(8), N0 denotes the data in the source node, K denotes the number of data packets, Qi represents the data that will be sent to the queue, RiÀ1, i represents the transmission rate in the link, Rp denotes the data process rate, and n means the number of hops between the source node and the destination node
Summary
With the development of modern communication, available spectrum resources are becoming increasingly scarce, which reduce network throughput. Recent studies have showed that the network lifetime is one of the most essential issues in large-scale wireless mobile sensor networks, whereas network throughput is considered the most important resource in such networks.[1]. The latest researches show that the dynamic adjustment of node transmission power and data transmission rate can increase the lifetime and throughput of wireless mobile sensor networks, and shorten the delay of end-to-end communication. Network lifetime and throughput are not considered (or only one of them is considered) when making route choices To address these issues, a multiple-channel cognitive routing optimization protocol is proposed in the current work for selecting spectrum while maximizing network lifetime and throughput in large-scale wireless mobile sensor networks. Our proposed method based on the model of signal-to-interference plus noise ratio (SINR) can effectively solve the dynamic spectrum allocation, data transmission rate, and power control problems. Conclusion of this study along with the future work is mentioned in section ‘‘Conclusion.’’
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