Abstract
Although mature industrial wireless sensor network applications increasingly require low-power operations, deterministic communications, and end-to-end reliability, it is very difficult to achieve these goals because of link burstiness and interference. In this paper, we propose a novel link quality estimation mechanism named the burstiness distribution metric, which uses the distribution of burstiness in the links to deal with variations in wireless link quality. First, we estimated the quality of the link at the receiver node by counting the number of consecutive packets lost in each link. Based on that, we created a burstiness distribution list and estimated the number of transmissions. Our simulation in the Cooja simulator from Contiki-NG showed that our proposal can be used in scheduling as an input metric to calculate the number of transmissions in order to achieve a reliability target in industrial wireless sensor networks.
Highlights
Industrial wireless sensor networks deploy many applications in fields such as environment monitoring, smart factories, healthcare, radiation checks, leakage detection, and process control
Based on the new link quality estimator, we proposed a metric called the burstiness distribution metric, which is used for estimating the number of transmissions in order to obtain target Packet Reception Rate (PRR) that can be used to find the shortest transmission path in routing protocol
By using the Cooja simulator, the burstiness distribution (Bdist) metric was compared with schemes such as ETX and PRR
Summary
Industrial wireless sensor networks deploy many applications in fields such as environment monitoring, smart factories, healthcare, radiation checks, leakage detection, and process control. Gomes et al [15] proposed a Link Quality Estimator (LQE) node, dedicated to real-time link quality estimation using the obtained information and RSSI from received packets. We proposed a link quality estimation mechanism that is based on counting the number of consecutively lost packets on each link at the receiving end, as calculated by the receiver node. Based on the new link quality estimator, we proposed a metric called the burstiness distribution metric, which is used for estimating the number of transmissions in order to obtain target PRR that can be used to find the shortest transmission path in routing protocol. The metric can be used for designing a MAC protocol for the industrial wireless sensor network or applying soft-sensor techniques [22,23] to give real-time estimation for the link quality measurement.
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