Distributed Time-Frequency Division Multiple Access Protocol For Wireless Sensor Networks

TL;DR

This paper introduces a distributed multi-channel TDMA protocol for wireless sensor networks inspired by biological algorithms, balancing nodes across channels with proven stability and low delay, and benchmarks it against existing methods.

Contribution

It extends biological-inspired distributed TDMA to multiple channels, ensuring stability and efficient load balancing in wireless sensor networks.

Findings

The protocol achieves stable multi-channel operation.

It balances node distribution across channels effectively.

Benchmark results show improved performance over existing methods.

Abstract

It is well known that biology-inspired self-maintaining algorithms in wireless sensor nodes achieve near optimum time division multiple access (TDMA) characteristics in a decentralized manner and with very low complexity. We extend such distributed TDMA approaches to multiple channels (frequencies). This is achieved by extending the concept of collaborative reactive listening in order to balance the number of nodes in all available channels. We prove the stability of the new protocol and estimate the delay until the balanced system state is reached. Our approach is benchmarked against single-channel distributed TDMA and channel hopping approaches using TinyOS imote2 wireless sensors.