A genetic approach for WSN lifetime maximization through dynamic linking and management

Authors:
Carlo Brandolese;Luigi Rucco
Affiliations:
Politecnico di Milano, Milano, Italy;Politecnico di Milano, Milano, Italy
Venue:
Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Year:
2010

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Abstract

Although some remarkable advancements have been achieved in the field of Wireless Sensors Networks concerning hardware configurations and networking, a shadow cone still overstays the research for general and effective software-design approaches, the main reason being the tight requirements and constraints peculiar of this class of distributed embedded systems. This paper presents a technique to optimize a sensor network under memory and energy constraints by dynamically allocating and managing cooperating functions. The proposed approach combines a genetic optimization of the functional allocation policy with a dynamic linking mechanism supporting it.