Paper Info
Title
A Distributed Energy Optimized Routing Using Virtual Potential Field In Wireless Sensor Networks
Abstract
Energy is an extremely critical resource for battery-powered wireless sensor networks. Since data transmission typically consumes more energy than any other activities on a sensor node, it is of great importance to design energy optimized routing algorithm to achieve both energy efficiency and energy balance together, in order to prolong the network lifetime. In this paper, with the help of the concept of potential field in physics, we design a distributed energy optimized routing by constructing a hybrid potential field. The goal of this basic approach is to force packets to move toward the sink at the same time to achieve energy balance among neighbors. We adopt the social welfare function from social sciences to predict equality of residual energy of neighbors after selecting different next nodes, which is used to compute the potential value in energy balance potential field. Simulation results show that the algorithm effectively extends the network lifetime, has good performance on energy balance of sensors, and decreases the average hop of data transmission with the increase of the number of sinks, compared with similar algorithms.
Year
DOI
Venue
2014
10.1155/2014/453485
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Field
DocType
Volume
Sensor node,Data transmission,Computer science,Efficient energy use,Network packet,Real-time computing,Energy balance,Distributed generation,Wireless sensor network,Sink (computing),Distributed computing
Journal
2014
ISSN
Citations 
PageRank 
1550-1477
2
0.41
References 
Authors
20
6
Name
Order
Citations
PageRank
Haifeng Jiang177134.60
Yanjing Sun29624.77
Renke Sun3243.20
Wei Chen4263.24
Shan-shan Ma541.45
Jing Gao640.78