Novel sampling algorithm for Levy-walk based mobile phone sensing

Thejaswini, M and P, Rajalakshmi and Desai, U B (2014) Novel sampling algorithm for Levy-walk based mobile phone sensing. In: IEEE World Forum on Internet of Things, WF-IoT, 6-8, March 2014, Seoul; South Korea.

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Mobile phones or smart phones equipped with different communication technologies and sensors have become pervasive application development platform for opportunistic and human-centric sensing. Optimisation of battery energy consumption and opportunistic sensing coverage are important issues under mobile phone sensing. This paper proposes a simple sampling algorithm based on human-walk velocity for mobile phone sensing. We analyse the impact of human-walk velocity on battery energy consumption and spatial coverage for mobile phone sensing by considering general regular sampling of sensors and proposed sampling method. When Levy walk mobility parameter α = 1, the proposed sampling algorithm shows better performance in terms of both spatial coverage and reduction of battery energy consumption for mobile phone sensing activity.

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IITH Creators:
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Item Type: Conference or Workshop Item (Paper)
Subjects: Others > Electronic imaging & Singal processing
Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 25 Nov 2014 04:35
Last Modified: 24 Aug 2015 09:21
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