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Wireless Sensor and Actuator Networks (WSANs) have evolved into increasingly complex systems with the added capabilities to run distributed applications. In order to meet application requirements, such as execution time, and to efficiently use limited node energy resources, a task allocation strategy is required (i.e., the set of tasks that have to be completed to finalise an application has to be distributed among nodes in the best possible way). Centralised task allocation algorithms, in which all tasks are performed at a single node, can avoid the exchange of data packets between task execution nodes. However, such algorithms cannot adapt to dynamic network conditions, and suffer from computational complexity.
Objective of this research activity area is to study decentralised task allocation algorithms based on non-cooperative game theory, where neighbouring nodes engage in negotiations to maximize their own utility functions.
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