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Novel Energy-Efficient Opportunistic Routing Protocol for Marine Wireless Sensor Networks Based on Compressed Sensing and Power Control

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Journal of Ocean University of China 2022年第6期21卷 1504-1516页

作者： XIAN Jiangfeng WU Huafeng MEI Xiaojun ZHANG Yuanyuan CHEN Xinqiang ZHANG Qiannan LIANG Linian Institute of Logistics Science and Engineering Shanghai Maritime UniversityShanghai 201306China Merchant Marine College Shanghai Maritime UniversityShanghai 201306China College of Information Engineering Shanghai Maritime UniversityShanghai 201306China Institute of Atmospheric Sciences&Department of Atmospheric and Oceanic Sciences Fudan UniversityShanghai 200438China

In marine wireless sensor networks(MWSNs),an appropriate routing protocol is the key to the collaborative collection and efficient transmission of massive data.However,designing an appropriate routing protocol under the condition of sparse marine node deployment,highly dynamic network topology,and limited node energy is complicated.Moreover,the absence of continuous endto-end connection introduces further difficulties in the design of routing protocols.In this case,we present a novel energy-efficient opportunistic routing(Novel Energy-Efficient Opportunistic Routing,NEOR)protocol for MWSNs that is based on compressed sensing and power control.First,a lightweight time-series prediction method-weighted moving average method is proposed to predict the packet advancement value such that the number of location information that is exchanged among a node and its neighbor nodes can be minimized.Second,an adaptive power control mechanism is presented to determine the optimal transmitting power and candidate nodeset on the basis of node mobility,packet advancement,communication link quality,and remaining node energy.Subsequently,a timer-based scheduling algorithm is utilized to coordinate packet forwarding to avoid packet conflict.Furthermore,we introduce the compressed sensing theory to compress perceptual data at source nodes and reconstruct the original data at sink nodes.Therefore,energy consumption in the MWSNs is greatly reduced due to the decrease in the amount of data perception and transmission.Numerical simulation experiments are carried out in a wide range of marine scenarios to verify the superiority of our approach over selected benchmark algorithms.

关键词： marine wireless sensor networks opportunistic routing weighted moving average adaptive power control compressed sensing

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