Open AccessData Aggregation in Wireless Sensor Networks
Author(s) -
Li Luo
Publication year - 2016
Publication title -
international journal of online engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.169
H-Index - 18
eISSN - 1868-1646
pISSN - 1861-2121
DOI - 10.3991/ijoe.v12i11.6233
Subject(s) - wireless sensor network , overhead (engineering) , computer science , data aggregator , energy consumption , division (mathematics) , real time computing , computer network , cluster (spacecraft) , key distribution in wireless sensor networks , artificial neural network , wireless , wireless network , distributed computing , engineering , telecommunications , artificial intelligence , mathematics , arithmetic , electrical engineering , operating system
In order to solve the problem of low efficiency and high energy consumption in data processing, In this paper, for reducing the communication overhead of data aggregation, we put forward a cluster division based data aggregation scheme for wireless sensor networks in which the cluster is divided into three subareas and some report nodes are assigned to each subarea. Simulation results show that, compared with LEACH algorithm, BP neural network and PSO-BP algorithm, more than 50% lower compression error is decreased and the simplicity of the improved algorithm makes it suitable for massive and the long term environmental monitoring network.