TITLE

A Low Collision and High Throughput Data Collection Mechanism for Large-Scale Super DenseWireless Sensor Networks

AUTHOR(S)
Chunyang Lei; Hongxia Bie; Gengfa Fang; Elena Gaura; James Brusey; Xuekun Zhang; Eryk Dutkiewicz
PUB. DATE
July 2016
SOURCE
Sensors (14248220);Jul2016, Vol. 16 Issue 7, p1108
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Super dense wireless sensor networks (WSNs) have become popular with the development of Internet of Things (IoT), Machine-to-Machine (M2M) communications and Vehicular-to-Vehicular (V2V) networks. While highly-dense wireless networks provide efficient and sustainable solutions to collect precise environmental information, a new channel access scheme is needed to solve the channel collision problem caused by the large number of competing nodes accessing the channel simultaneously. In this paper, we propose a space-time random access method based on a directional data transmission strategy, by which collisions in the wireless channel are significantly decreased and channel utility efficiency is greatly enhanced. Simulation results show that our proposed method can decrease the packet loss rate to less than 2% in large scale WSNs and in comparison with other channel access schemes for WSNs, the average network throughput can be doubled.
ACCESSION #
120482450

 

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