An energy-saving algorithm for wireless sensor networks based on network coding and compressed sensing

Author

Qin Tuanfa ; Meng Yunfan ; Li Liangliang ; Wan Haibin ; Zhang Dongmei

Author_Institution

Sch. of Comput. & Electron. Inf., Guangxi Univ., Nanning, China

Volume

11

Issue

13

fYear

2014

fDate

Supplement 2014

Firstpage

171

Lastpage

178

Abstract

An energy-saving algorithm for wireless sensor networks based on network coding and compressed sensing (CS-NCES) is proposed in this paper. Along with considering the correlations of data spatial and temporal, the algorithm utilizes the similarities between the encoding matrix of network coding and the measurement matrix of compressed sensing. The source node firstly encodes the data, then compresses the coding data by compressed sensing over finite fields. Compared with the network coding scheme, simulation results show that CS-NCES reduces the energy consumption about 25.3%-34.5% and improves the efficiency of data reconstruction about 1.56%-5.98%. The proposed algorithm can not only enhance the usability of network coding in wireless sensor networks, but also improve the network performance.

Keywords

compressed sensing; network coding; wireless sensor networks; CS-NCES; compressed sensing; energy-saving algorithm; network coding; wireless sensor networks; Compressed sensing; Encoding; Energy consumption; Galois fields; Network coding; Relays; Wireless sensor networks; compressed sensing; deterministic matrix; network coding; network energy-efficiency; wireless sensor networks;

fLanguage

English

Journal_Title

Communications, China

Publisher

ieee

ISSN

1673-5447

Type

jour

DOI

10.1109/CC.2014.7022542

Filename

7022542