DocumentCode :
2480434
Title :
Data Aggregation Algorithm Based on Grid and Adaptive Genetic Algorithm for Wireless Senor Networks with a Mobile Sink
Author :
Li Qingqing ; Li Chunlin ; Li Jun
Author_Institution :
Inst. of Comput. Sci., Wuhan Univ. of Technol., Wuhan, China
fYear :
2010
fDate :
22-23 May 2010
Firstpage :
1
Lastpage :
4
Abstract :
Energy consumption and the overhead of rerouting frequency are important concern in the routing algorithm design for Wireless Sensor Networks(WSN) with the Mobile Sink, this paper proposes a data aggregation algorithm based on grid and adaptive genetic algorithm for WSN with a mobile sink.AGA is applied to find out the optimal route of MA aggregating data, the entire area of a WSN is evenly partitioned into many two-dimensional grids, forming the initial population of AGA, MA carry the integration results back to the mobile sink through the gateway nodes at the lowest power consumption. Simulation preliminary analysis show that compared with the coordination-based data dissemination scheme (CODE), with the increasing of the sensor nodes and sink speed, the proposed algorithm can produce less energy consumption and reduce the rerouting frequency.
Keywords :
genetic algorithms; mobile radio; power consumption; telecommunication network routing; wireless sensor networks; adaptive genetic algorithm; coordination- based data dissemination scheme; data aggregation algorithm; energy consumption; mobile agent routing; mobile sink; power consumption; rerouting frequency; wireless senor networks; Algorithm design and analysis; Analytical models; Energy consumption; Frequency; Genetic algorithms; Intelligent sensors; Mobile computing; Partitioning algorithms; Routing; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
Type :
conf
DOI :
10.1109/IWISA.2010.5473378
Filename :
5473378
Link To Document :
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