Title
A Multi-Hop Energy Neutral Clustering Algorithm for Maximizing Network Information Gathering in Energy Harvesting Wireless Sensor Networks.
Abstract
Energy resource limitation is a severe problem in traditional wireless sensor networks (WSNs) because it restricts the lifetime of network. Recently, the emergence of energy harvesting techniques has brought with them the expectation to overcome this problem. In particular, it is possible for a sensor node with energy harvesting abilities to work perpetually in an Energy Neutral state. In this paper, a Multi-hop Energy Neutral Clustering (MENC) algorithm is proposed to construct the optimal multi-hop clustering architecture in energy harvesting WSNs, with the goal of achieving perpetual network operation. All cluster heads (CHs) in the network act as routers to transmit data to base station (BS) cooperatively by a multi-hop communication method. In addition, by analyzing the energy consumption of intra- and inter-cluster data transmission, we give the energy neutrality constraints. Under these constraints, every sensor node can work in an energy neutral state, which in turn provides perpetual network operation. Furthermore, the minimum network data transmission cycle is mathematically derived using convex optimization techniques while the network information gathering is maximal. Simulation results show that our protocol can achieve perpetual network operation, so that the consistent data delivery is guaranteed. In addition, substantial improvements on the performance of network throughput are also achieved as compared to the famous traditional clustering protocol LEACH and recent energy harvesting aware clustering protocols.
Year
DOI
Venue
2016
10.3390/s16010026
SENSORS
Keywords
Field
DocType
wireless sensor networks,energy harvesting,energy neutral,multi-hop clustering
Sensor node,Key distribution in wireless sensor networks,Base station,Computer network,Energy harvesting,Throughput,Engineering,Cluster analysis,Energy consumption,Wireless sensor network
Journal
Volume
Issue
ISSN
16
1.0
1424-8220
Citations 
PageRank 
References 
4
0.52
27
Authors
5
Name
Order
Citations
PageRank
Liu Yang1183.80
Yinzhi Lu2101.31
Yuanchang Zhong340.52
Xuegang Wu440.52
Simon X. Yang51029124.34