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Trusted routing for resource-constrained Wireless Sensor Networks

conference contribution
posted on 2011-01-28, 00:00 authored by Khaled Daabaj, Mike Dixon, Terry Koziniec, Kevin LeeKevin Lee
Designing a reliable and trusted routing scheme for resource-constrained Wireless Sensor Networks (WSNs) is a challenging task due to the lack of infrastructure and the highly dynamic network topology. To ensure trustworthy end-to-end communications between wirelessly connected sensor nodes, a considerable amount of bidirectional traffic must be relayed either between neighboring sensor nodes or between source sensor nodes and the base station. Such scenarios may lead to an added routing overhead, higher energy depletion rate and network life time minimization. The existing trusted routing protocols focus on trusted data dissemination while lacking the consideration of the restricted resources of sensor nodes and low-power radio link failures. To solve this problem, we propose a reliability-oriented routing scheme that takes into account the link reliability and residual energy of sensor nodes, thus allowing for better trustworthy data exchange, traffic balancing and network lifetime extension. Based on real test bed experiments and large-scale simulations, the attained results show the benefits stemming from the adoption of our scheme to be a reliable and energy efficient data delivery platform for potential trusted data exchange models. Our results show that the scheme is able to reduce energy consumption without affecting the connectivity of the network.

History

Pagination

666-671

Location

Hong Kong, China

Start date

2010-12-11

End date

2010-12-13

ISBN-13

9780769543222

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2010, IEEE

Title of proceedings

EUC 2010 : Proceedings of the 8th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing

Event

EUC 2010 - IEEE/IFIP Embedded and Ubiquitous Computing (8th : 2010 : Hong Kong, China)

Publisher

IEEE Computer Society

Place of publication

Los Alamitos, California

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