Efficient Clustering Algorithms for Cell phone based Sensor Networks
Автор:M.B.Shah,S.N.Merchant and U.B.Desai Год: 2014 Издание:
LAP Lambert Academic Publishing Страниц: 108 ISBN: 9783659566592 At the end of 2014 the number of cellular subscribers is about to cross 7 billion worldwide. The ubiquitous presence of cell phones makes them an ideal platform for carrying out sensing tasks for next generation wireless sensor networks. In this book, the authors present human mobility based clustering algorithms for sensor data routing of Cell phone based sensor networks. Algorithms are presented for two different sensor data routing applications, namely monitoring and moving event localization. Presented algorithms use two novel human walk context metrics and perform better compared to instantaneous mobility metric of traditional algorithms. Power law distributions of flight length and pause time, offers excellent opportunities for creating stable cluster structures. Presented human walk context metrics exploit Expectation paradox and Mass-count disparity properties of power law distribution of flight length and pause time. These opportunities arise for high density node...