Title: An improved spatial-temporal correlation algorithm combined with compressed sensing and LEACH protocol in WSNs

Authors: Xin Xie; Jianan Wang; Songlin Ge; Nan Jiang; Fengping Hu

Addresses: School of Information Engineering, East China Jiaotong University, Nanchang, China ' School of Information Engineering, East China Jiaotong University, Nanchang, China ' School of Information Engineering, East China Jiaotong University, Nanchang, China ' School of Information Engineering, East China Jiaotong University, Nanchang, China ' School of Civil Engineering, East China Jiaotong University, Nanchang, China

Abstract: The energy of the sensor network nodes is limited, in order to save the energy consumption of the sensor nodes, a compressed sensing method based on the spatial-temporal correlation of nodes is proposed. The LEACH algorithm is used to cluster the network nodes and select the cluster head. Then, the cluster head node is sampled by the compressed sensing theory. The sampled data is passed to the remote sink node through multi-hop routing. Finally, at the sink node, the OMP algorithm can be used to recover the original signal from a small amount of data transmitted by the cluster head nodes. The simulation results show that the method can effectively reduce the amount of data transmission and save the energy consumption of nodes and prolong the lifetime of the wireless sensor network.

Keywords: wireless sensor networks; WSNs; compressed sensing; LEACH protocol; spatial-temporal correlation.

DOI: 10.1504/IJICS.2020.107447

International Journal of Information and Computer Security, 2020 Vol.12 No.4, pp.383 - 396

Received: 07 Nov 2017
Accepted: 23 Feb 2018

Published online: 22 Apr 2020 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article