Scalable and energy efficient data dissemination in wireless sensor networks

Abstract

Data dissemination in wireless sensor networks is a key problem that acts as a bottleneck to its wide application in real world. In this paper, a novel data dissemination scheme ? logarithmic spiral data dissemination (LSDD) ? is proposed. In LSDD, data advertisements are disseminated following a parametric spiral-like path, which involves only a small fraction of nodes in a dense sensor network. By exploiting the nice feature of spiral, the scheme scales well for large sensor networks while saving much energy in the data dissemination process. By both numerical analysis and simulations, we show the distinct merits of LSDD as lower dissemination cost, better scalability, and better fault tolerance when compared to flooding-based schemes.