Applications and performances of extended TTDDs in large-scale wireless sensor networks

Abstract

There are many applications of large scale sensor networks in which both the stimulus and the data collection stations are mobile (i.e. animal tracking, battlefield chasing). TTDD is a scalable and energy-efficient data dissemination model designed for this type of scenarios. However, TTDD only focused on handling mobile sinks. In this paper, we extend TTDD to deal with both mobile sources and sinks and evaluate the effectiveness of two potential extended TTDD schemes. Simulation results are presented to compare their performance in terms of energy consumption, delay and success rate. It is shown that the two schemes have similar performance when the moving speeds of the phenomena objects are slow. However, when the phenomena objects moving exceed certain speed, the advantages of one scheme over the other become unneglectable.