A multi-objective genetic algorithmic approach for QoS-based energy-efficient sensor routing protocol

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Abstract

As the trend of small, connected, computing devices weaved, with almost any type of daily useable object, increases drastically, the deployment of Wireless Multimedia Sensor Networks (WMSNs) becomes a necessity. Sensor networks stages to deliver multimedia content, forcing Quality of Service (QoS) to become an important issue on the already low-powered, energy constraint sensor nodes. Such a problem is proved to be NP-complete. We, in this paper, propose an energy-efficient, QoS-aware sensor routing protocol for such WMSNs. Our protocol is based on multi-objective genetic algorithm (MOGA) in particular. The protocol determines application-specific, near-optimal sensory-routes, by optimizing multiple parameters - QoS, and energy consumption. Simulation results demonstrate that the proposed protocol is capable of providing lower delay and lower energy consumption in comparison to other existing QoS-routing protocols for wireless sensor networks. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Saxena, N., Roy, A., & Shin, J. (2007). A multi-objective genetic algorithmic approach for QoS-based energy-efficient sensor routing protocol. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4773 LNCS, pp. 523–526). Springer Verlag. https://doi.org/10.1007/978-3-540-75476-3_56

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