Continuous phenomena boundary detection and tracking in wireless sensor networks through optimized monitoring

Imran, Sajida and Erçetin, Özgür and Ko, Young-Bae (2015) Continuous phenomena boundary detection and tracking in wireless sensor networks through optimized monitoring. In: IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 2015), Victoria, BC

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Abstract

To track and detect continuous natured objects in wireless sensor networks, large number of sensor nodes are involved. These continuous objects like bio-chemical diffusions, forest fires, oil spills usually spread over larger area. Phenomena sensing nodes need to communicate with each other for information exchange and also send sensing information to sink, possibly by passing through many intermediate nodes. The process consumes a lot of communication overhead and waste of sensors scarce energy. In this paper, we proposed an optimized approach to reduce number of communications and report data size to the sink. Sensors locally broadcast their sensing status to one-hop neighbors, and suppress any transmission that contains any trivial data. Intermediate nodes further suppress the report data by applying data aggregation and filtering. Simulation results show a significant decrease in number of communications and report data size.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: object tracking, wireless sensor network, communication overhead, report message size
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Özgür Erçetin
Date Deposited: 22 Feb 2016 11:45
Last Modified: 26 Apr 2022 09:22
URI: https://research.sabanciuniv.edu/id/eprint/29155

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