Exploiting temporal and spatial variation for WiFi interference avoidance in ZigBee networks

Autor: Ruitao Xu, Gaotao Shi, Jun Luo, Yantai Shu
Rok vydání: 2015
Předmět:
Zdroj: International Journal of Sensor Networks. 18:204
ISSN: 1748-1287
1748-1279
DOI: 10.1504/ijsnet.2015.070396
Popis: Specifically, ZigBee networks share the 2.4 GHz ISM band with WiFi but have much lower transmission power. Therefore, the ZigBee networks inevitably suffer the interference from WiFi networks. In this paper, we focus on utilising the temporal and spatial feature of WiFi interference to adjust Zigbee channel over the whole networks. We experimentally examine the spatiotemporal variation of interference and then present a novel interference assessing method which jointly considers the intensity and density of WiFi interference in order to better characterise the relation between interference and link quality. Further considering the interference locality, we propose MuZi Multi-channel ZigBee as an interference avoiding approach for ZigBee networks. It aims to determine a better working channel for each node while taking network connectivity into consideration. Our experiments show that, under the existence of WiFi interference, MuZi can achieve 3.3 times throughput than the traditional single-channel method.
Databáze: OpenAIRE