DocumentCode :
3461882
Title :
A Realistic Weighted Clustering algorithm for data gathering in single hop cell phone based sensor network
Author :
Shah, M.B. ; Tamhankar, P.S. ; Merchant, S.N. ; Desai, U.B.
Author_Institution :
Electr. Eng. Dept., Indian Inst. of Technol. Bombay, Mumbai, India
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1253
Lastpage :
1257
Abstract :
We present Weight based Realistic Clustering algorithm (WRCA) for energy efficient data collection from human based wireless network such as cell phone based sensor network. The WRCA creates better load balanced and stable clusters for data gathering in a realistic human mobility scenario as compared to WCA algorithm of mobile adhoc networks. Traditional way of stable clustering used to select stable Cluster Heads (CHs) based on instantaneous mobility criteria. While our algorithm incorporate only a pause time weighting parameter to leverage pause time distribution of human mobility for selection of more stable CHs. Load balancing aspect of WRCA tackles realistic scenario of inhomogeneous node distribution. Improvement in load balancing with WRCA assure better aggregation of sensor data and MAC layer performance. This is accomplished by incorporating a density center weighting parameter. This information is used to select density centered CHs. WRCA requires fewer messages to find density centered nodes as compared to TASC. Simulation results demonstrate the overall superiority in performance of the WRCA when mobility according to a realistic mobility model called Self similar Least Action Walk (SLAW) is considered. Simulation result shows that our proposed algorithm consumes 20% less energy and 50% more network lifetime as compared to WCA algorithm.
Keywords :
access protocols; cellular radio; mobile ad hoc networks; mobile handsets; mobility management (mobile radio); pattern clustering; telecommunication network management; wireless sensor networks; MAC layer performance; TASC; WCA algorithm; WRCA; data gathering; energy efficient data collection; human based wireless network; inhomogeneous node distribution; load balancing; mobile adhoc network; mobility model; network lifetime; pause time distribution; realistic human mobility scenario; realistic weight based realistic clustering algorithm; self similar least action walk; sensor data; single hop cell phone based sensor network; stable cluster heads; time weighting parameter; Cellular phones; Clustering algorithms; Energy consumption; Humans; Mobile communication; Mobile computing; Wireless sensor networks; Density Based Clustering; Human Mobility; Mobile Sensing; Weighted Clustering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
GLOBECOM Workshops (GC Wkshps), 2011 IEEE
Conference_Location :
Houston, TX
Print_ISBN :
978-1-4673-0039-1
Electronic_ISBN :
978-1-4673-0038-4
Type :
conf
DOI :
10.1109/GLOCOMW.2011.6162382
Filename :
6162382
Link To Document :
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