Distributed Tuning Attempt Probability for Data Gathering in Random Access Wireless Sensor Networks

In this paper, the authors study the problem of data gathering in multi-hop wireless sensor networks. To tackle the high degree of channel contention and high probability of packet collision induced by bursty traffic, they introduce a novel model based on random channel access scheme for data gathering. In their model, both data delivery reliability and latency are considered, and their goal is to tune the attempt probability for each sensor node so that the data gathering duration can be minimized on condition that each link in the data gathering tree can provide guaranteed per-hop packet delivery reliability.