DocumentCode :
623363
Title :
Hierarchical ant colony algorithm of wireless sensor networks for energy monitoring
Author :
Xu Dong ; Zhang Shaoguang ; Liu Min ; Li Xuerong ; Wei Hongxing
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
1270
Lastpage :
1274
Abstract :
Using wireless sensor networks in residential building electrical monitoring changes the style of wire-based measurement and facilitates the design of the system. The wireless communication mode takes new problems such as the transmission efficiency and energy consumption of data transmission. To solve these problems, this paper discusses the characteristics of the network topology for energy measurement, and designs a communication protocol based on hierarchical ant colony algorithm. The protocol combines the idea of network hierarchical transmission and the ant colony algorithm. To achieve the efficient collection of data, the transmission efficiency is the first optimized object and the transmission energy consumption is also taken into account. System simulation and experimental results verify the reliability and feasibility of the designed algorithm.
Keywords :
ant colony optimisation; building management systems; energy consumption; energy measurement; monitoring; power system measurement; power transmission reliability; protocols; telecommunication network reliability; telecommunication network topology; wireless sensor networks; communication protocol; data collection; data transmission; energy measurement; hierarchical ant colony algorithm; network hierarchical transmission efficiency; network topology; reliability; residential building electrical monitoring; transmission energy consumption; wire-based measurement; wireless communication mode; wireless sensor network; Algorithm design and analysis; Clustering algorithms; Energy consumption; Monitoring; Protocols; Wireless communication; Wireless sensor networks; Ant Colony Algorithm; Electrical Monitoring; Hierarchical; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
Type :
conf
DOI :
10.1109/ICIEA.2013.6566562
Filename :
6566562
Link To Document :
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