DocumentCode :
3245273
Title :
EBMD: Energy-Balanced Multi-path Data Propation Algorithm for Sensor Networks
Author :
Yuan Feng ; Lipeng Zhang ; Peng Zhou
Author_Institution :
Coll. of Inf. Sci. & Technol., Ocean Univ. of China, Qingdao
fYear :
2008
fDate :
18-21 Oct. 2008
Firstpage :
531
Lastpage :
540
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 mentioned above. 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.
Keywords :
data communication; energy consumption; genetic algorithms; telecommunication network routing; telecommunication network topology; wireless sensor networks; arbitrary network topology; data transmission; energy consumption; energy-balanced multipath data propagation algorithm; genetic algorithms; probability-based mathematical model; wireless sensor networks; Clustering algorithms; Data communication; Educational institutions; Energy consumption; Information science; Mathematical model; Paper technology; Protocols; Space technology; Wireless sensor networks; energy balance; routing; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network and Parallel Computing, 2008. NPC 2008. IFIP International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3354-4
Type :
conf
DOI :
10.1109/NPC.2008.111
Filename :
4663379
Link To Document :
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