Paper Info
Title
EBMD: Energy-Balanced Multi-path Data Propation Algorithm for Sensor Networks
Abstract
In wireless sensor networks, energy-balanced data propagation is crucial to achieving satisfactory network lifetime. This paper presents a probability-based mathematical model to formulate the energy dissipated by data transmission of sensor nodes for arbitrary network topology. The mathematical model summarizes an extensive design space for routing, in which direct transmission and minimum transmission energy algorithms areincluded as its two special examples. Moreover, an approach using genetic algorithms (GA) is proposed to explore the suboptimal solutions of probabilities in order to guarantee the energy consumption more evenly in the process of data propagation. Finally, we provide the data propagation algorithm and its implement according to the probability values mentionedabove. Our simulation results demonstrate that our algorithm makes the energy dissipation of sensor nodes in data transmission more uniformly than conventional algorithms and it almost does not lead to additional energy consumption.
Year
DOI
Venue
2008
10.1109/NPC.2008.111
NPC Workshops
Keywords
Field
DocType
additional energy consumption,energy-balanced data propagation,data propagation,energy-balanced multi-path data propation,energy consumption,sensor networks,sensor node,energy dissipation,minimum transmission energy,data transmission,direct transmission,data propagation algorithm,energy balance,genetic algorithm,wireless sensor network,network topology,sensor network,mathematical model,routing,protocols,base stations,wireless sensor networks,genetic algorithms
Base station,Data transmission,Dissipation,Computer science,Algorithm,Computer network,Energy balance,Network topology,Wireless sensor network,Energy consumption,Genetic algorithm,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
Yuan Feng1173.82
Lipeng Zhang2102.68
Peng Zhou310.70