A Dynamic-alliance-based Adaptive Task Allocation Algorithm in Wireless Sensor Networks

In distributed sensor networks, which have limited resources, such as energy and storage, and work in a dynamic environment, the networks should effectively allocate some real-time tasks on those limited resources. Additionally, we should do our best to maximize the lifetime of wireless sensor networks (WSNs) and the accuracy of the results. Due to most of previous works focusing on static task allocation for WSNs and only a few works having paid attention to dynamic resource allocation for sensor networks, this paper present an effectively adaptive task allocation (EATA) in WSNs which applied dynamic alliance. Instead of being aid of manual adjustment, each node can autonomously adjust its parameters and state by means of EATA according to tracking the change of environment, such as energy depletion. By comparing with static task allocation, experiment results show that our scheme can save a great deal of energy and prolong the lifetime of the network.