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Performance Evaluation of Joint Routing and Scheduling in Opportunistic Sensor Networks

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International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 20
Year of Publication: 2015
Authors:
Roohinaz M
Mehul B. Shah
10.5120/21816-5144

Roohinaz M and Mehul B Shah. Article: Performance Evaluation of Joint Routing and Scheduling in Opportunistic Sensor Networks. International Journal of Computer Applications 122(20):18-23, July 2015. Full text available. BibTeX

@article{key:article,
	author = {Roohinaz M and Mehul B. Shah},
	title = {Article: Performance Evaluation of Joint Routing and Scheduling in Opportunistic Sensor Networks},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {20},
	pages = {18-23},
	month = {July},
	note = {Full text available}
}

Abstract

In present scenario the innovation of mobile phones that are embedded with different types of onboard sensors, has brought on a new interest of using them as the main part of the sensor network, for a wide area of applications (for e. g. monitoring). In such ad-hoc network end to end connectivity cannot be established and the connection comes out to be mainly opportunistic. The connection in Opportunistic Sensor Network (OSN) is many to one i. e. all the nodes have a common destination. The prominent challenge faced in the opportunistic sensor networks includes the Routing /Scheduling and managing the constrained memory. In this paper scheduling is defined by routing combined with proper buffer management policy and since the scheduling in OSN is node based so selection of proper Buffer management is also significant. This paper considers the monitoring application with the help of human carried mobile sensors and hence a performance evaluation of joint Routing/Scheduling and Buffer management using simulator called ONE (Opportunistic Network Environment) Simulator is done. Simulation results indicate superiority of Shortest remaining Life Time (SHLI) scheme for node movement as per human mobility characteristics. This is contrary to community mobility model as shown for PROPHET algorithm, in which Most Forwarded First (MOFO) scheme performs better.

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