NDLI: Efficient data collection in wireless sensor networks with path-constrained mobile sinks

Content Provider	IEEE Xplore Digital Library
Author	Shuai Gao Hongke Zhang Das, S.
Copyright Year	2009
Description	Author affiliation: National Engg. Lab for NGI Interconnection Devices, Beijing Jiaotong University, China (Shuai Gao; Hongke Zhang) \|\| CReWMaN Lab, Dept. of Computer Science and Engg., The University of Texas at Arlington, USA (Das, S.)
Abstract	Recent work shows that sink mobility along a constrained path can improve the energy efficiency in wireless sensor networks. However, due to the path constraint, a mobile sink with constant speed has limited communication time to collect data from the sensor nodes deployed randomly. This poses significant challenges in simultaneously improving the amount of data collected and reduction in energy consumption. To address this issue, we propose a novel data collection scheme, called the Maximum Amount Shortest Path (MASP), that increases network throughput as well as conserves energy to optimize the assignment of sensor nodes. MASP is formulated as an integer linear programming problem and then solved with the help of a genetic algorithm. A two-phase communication protocol is designed to implement the MASP scheme. Simulations experiments using OMNET++ show that MASP outperforms the Shortest Path Tree (SPT) and static sink methods in terms of system throughput and energy efficiency.
Starting Page	1
Ending Page	9
File Size	340855
Page Count	9
File Format	PDF
ISBN	9781424444403
DOI	10.1109/WOWMOM.2009.5282492
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-15
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Energy consumption Protocols Integer linear programming Throughput Mobile communication Energy efficiency Genetic algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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