Abstract
Design of reliable wireless sensor network (WSN) needs to address the failure of single or multiple network components and implementation of the techniques to tolerate the faults occurred at various levels. The issues and requirements of reliability improvement mechanism depend on the available resources and application for which the WSN is deployed. This paper discusses the different modeling approaches to evaluate the reliability and classification of the approaches to improve it. Also the paper analyzes reliability enhancement by existing fault tolerant methods in WSN and compares the performance of these techniques with the technique we developed. From the results of the analysis we highlight the challenges and the characteristics of the sensor network affects the reliability and give some scope of future research directions in order to enhance reliability.
Highlights
A wireless sensor network is a collection of large number of sensor nodes deployed over the region or inside the target which is to be detected, monitored or tracked
During the deployment of wireless sensor network (WSN), reliability modeling can be used to predict the performance of the network elements to provide the information for the design of WSN suitable for an application in hand
Some of the approaches/protocol/techniques used in WSN to enhance its reliability are compared in Various design, deployment and functional aspects of a reliable WSN are analyzed in this paper
Summary
A wireless sensor network is a collection of large number of sensor nodes deployed over the region or inside the target which is to be detected, monitored or tracked. Each sensor node consists of processing capability, memory, a RF transceiver, a power source, and accommodate various sensors and actuators [1] These nodes self organize into a cooperative network [2] to communicate in an ad hoc fashion and transmit the sensor measurements to the end user. On the other hand the inexpensive sensor nodes may not be highly reliable since they are limited in energy, memory space and processing capabilities, and the onboard sensors have direct contact with the environment This results in error introduced in some of the sensor measurements while sensing, processing or reporting the data to the sink. It can be improved one or multiple components like hardware, software or any service/functions of the network in order to achieve minimum required reliability.
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