An Adaptive MAC Protocol Based on Spatial and Temporal Correlation in Wireless Sensor Networks

The correlation between neighbor nodes is a key factor in wireless sensor networks. It has a crucial impact on network load. But few researches refer to it. This paper discusses the correlation effect on network load firstly, and then presents DOSC and DOTC as parameters to quantify the spatial and time correlation of the neighbor nodes respectively. Based on these, the paper proposes STCAS-MAC. STCAS-MAC is evolved from AS-MAC by improving its adaptive scheduling and considering the validity period of information. Simulation results show that compared with the AS-MAC, the proposed protocol improves greatly in several performances. Especially when the network load is heavy or variable, the STCAS-MAC protocol can improve the delivery ratio effectively or adaptation obviously.

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