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Reliability-Oriented Single-Path Routing Protocols in Wireless Sensor Networks
Journal article   Open access   Peer reviewed

Reliability-Oriented Single-Path Routing Protocols in Wireless Sensor Networks

Amir Ehsani Zonouz, Liudong Xing, Vinod M. Vokkarane and Yan Lindsay Sun
IEEE sensors journal, Vol.14(11), pp.4059-4068
11/2014

Abstract

battery-powered sensor node communication reliability energy harvesting sensor node link failure model Reliability Routing routing algorithm Routing protocols Sensors Shadow mapping Wireless communication Wireless sensor network Wireless sensor networks
Wireless sensor networks (WSNs) bring significant advantages over traditional communications in today's applications, such as environmental monitoring, homeland security, and health care. However, harsh and complex environments pose great challenges in the reliability of WSN communications. To achieve reliable wireless communications within WSNs, it is essential to have a reliable routing protocol and to have a means to evaluate the reliability performance of different routing protocols. In this paper, we first model the reliability of two different types of sensor nodes: 1) energy harvesting sensor nodes and 2) battery-powered sensor nodes. We then present wireless link reliability models for each type of sensor nodes, where effects of different parameters, such as battery life-time, shadowing, noise, and location uncertainty, are considered for analyzing the wireless link reliability. Based on the sensor node and wireless link reliability models, we compare the performance of different routing algorithms in terms of end-to-end path reliability and number of hops. A dynamic routing approach is then proposed to achieve the most reliable end-to-end path in WSNs. Furthermore, to facilitate a fair and comprehensive comparison among different routing algorithms, a cost function approach that integrates the end-to-end path reliability and number of hops is proposed, providing an indicator of quality of service of applications running on WSNs.
url
https://doi.org/10.1109/JSEN.2014.2332296View
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