Self-Stabilizing Deterministic TDMA for Sensor Networks


An algorithm for time division multiple access (TDMA) is found to be applicable in converting existing distributed algorithms into a model that is consistent with sensor networks. Such a TDMA service needs to be self-stabilizing so that in the event of corruption of assigned slots and clock drift, it recovers to states from where TDMA slots are consistent. Previous self-stabilizing solutions for TDMA are either randomized or assume that the topology is known upfront and cannot change. Thus, the question of feasibility of self-stabilizing deterministic TDMA algorithm where topology is unknown remains open. In this paper, we present a self-stabilizing, deterministic algorithm for TDMA in networks where a sensor is aware of only its neighbors. This is the first such algorithm that achieves these properties. Moreover, this is the first algorithm that demonstrates the feasibility of stabilization preserving, deterministic transformation of a shared memory distributed program on an arbitrary topology into a program that is consistent with the sensor network model.

In Proceedings of the International Conference on Distributed Computing and Internet Technology (ICDCIT)
Mahesh Arumugam
Mahesh Arumugam

Mahesh Arumugam is a software engineer passionate about designing, programming, and deploying systems. Currently, I work in data security and analytics domain.