ADVANCEMENT IN DIRECTED DIFFUSION TO REDUCE ENERGY CONSUMPTION IN WSN

Abstract

Continuous advances in computation power, compactness of memory, energy efficiency in radio technology, had made wide-scale deployment of sensor networks inevitable in today’s scenario. Nodes in WSN (Wireless Sensor Networks) autonomously collect information about ambience and dump them to sink nodes (central entity of a WSN). A crucial cost for autonomous behavior is energy. Since, WSN are data-centric, there is a need to analyze data to avoid redundancy, before data extraction. Directed Diffusion is a protocol proposed to gain the same goal. In this paper, we presented some additional paradigms using random numbers to convert the two-phase model in one phase, making backtrack to sink node easier and also chosen path on the basis on energy efficiency and survivability rather than latency.