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

Authors:
Navrati Saxena;Abhishek Roy;Jitae Shin
Affiliations:
School of Info. & Comm. Eng., Sungkyunkwan University, Suwon, Korea;WiBro System Lab, Samsung Electronics, Suwon, South Korea;School of Info. & Comm. Eng., Sungkyunkwan University, Suwon, Korea
Venue:
APNOMS'07 Proceedings of the 10th Asia-Pacific conference on Network Operations and Management Symposium: managing next generation networks and services
Year:
2007

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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, QoSaware 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.