M-IAR: Biologically Inspired Routing Protocol for Wireless Multimedia Sensor Networks

In this paper, we propose multimedia-enabled improved adaptive routing (M-IAR) that is optimized for single-source-to- single-destination multimedia sensory data traffic. It is an extension of the improved adaptive routing (IAR) algorithm presented in our earlier work, in response to the increasing...

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Bibliographic Details
Published in2008 IEEE Instrumentation and Measurement Technology Conference pp. 1823 - 1827
Main Authors Rahman, M.A., GhasemAghaei, R., El Saddik, A., Gueaieb, W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2008
Subjects
Ant colony optimization
ant routing
Biosensors
Cameras
Delay
Energy consumption
Jitter
Microphones
multimedia sensors
Routing protocols
Telecommunication traffic
wireless sensor network
Wireless sensor networks
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ISBN9781424415403
1424415403
ISSN1091-5281
DOI10.1109/IMTC.2008.4547341

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Summary:In this paper, we propose multimedia-enabled improved adaptive routing (M-IAR) that is optimized for single-source-to- single-destination multimedia sensory data traffic. It is an extension of the improved adaptive routing (IAR) algorithm presented in our earlier work, in response to the increasing number of applications incorporating wireless multimedia sensors such as wireless microphones and cameras. M-IAR is a swarm-intelligent- based algorithm exploiting the concept of ant colony optimization to optimize end-to-end delay, jitter, latency, energy consumption, packet survival rate, and routing path, within the multimedia wireless sensor network. The presented algorithm is proven to satisfy its goals through a series of computer simulations.
ISBN:9781424415403
1424415403
ISSN:1091-5281
DOI:10.1109/IMTC.2008.4547341