Minimum-Energy-Cost Algorithm Based on Superframe Adaptation Control

Wireless sensor networks consist of a large number of sensor nodes with limited power and resource. To prolong network lifetime, the energy consumption must be somehow reduced. In this paper, we propose a superframe adaptation control algorithm for energy saving. The objectives are to use time division to prolong sleeping time of each sub-node and to reduce collisions of packets in MAC layer while guaranteeing the QoS. Our superframe adaptation control algorithm is based on a gradually solution of a energy efficiency problem. Sink node computes when to sleep or to stay active. Based on the time division algorithm which improved the media access collision problem, we introduce a scheme for inserting more sleeping time for each node to save more energy. We have implemented our superframe adaptation control algorithm on NS-2. The result indicates that our algorithm is efficient and viable for practical use.