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.
Abstract
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.
Actions (login required)
|
View Item |