Abstract
Network reliability of Wireless Sensor Networks (WSNs) is difficult to be evaluated because of its complexity, multistates, and dynamic characteristics. To satisfy the user's need of reliability evaluation for network transmission we propose some evaluation models and a dynamical evaluation framework. The evaluation models are mission-oriented and based on transmission paths (uplink and downlink). The dynamic evaluation framework can be on-demand customized and it will be autoupdated once the communication environment changes or the nodes fail. Finally, we simulated clustered and mesh WSNs with NS-2. Simulation result shows that the proposed evaluation framework was effective and accurate.
Highlights
Reliability of Wireless Sensor Networks (WSNs) is strictly required in industrial intelligent monitoring, military reconnaissance, and so on
Transmission is an important mission of WSNs, and the reliability evaluation from the perspective of transmission can better satisfy the need of network users
Most clustered WSNs are designed with one cluster head, and the transmission between cluster head and members is single-hop [21]
Summary
Reliability of WSNs is strictly required in industrial intelligent monitoring, military reconnaissance, and so on. Reliability of data transmission determines whether the WSNs mission (e.g., measurement, monitoring) is successful or not. More accurate and effective reliability evaluation helps to make better selection of topology controlling and communication protocols for WSNs. Generally, WSNs consist of numerous sensor nodes distributed randomly in a large-scale regional. Changeable communication environment and unexpected node failures dynamically affect WSNs. In addition, WSNs should complete a variety of missions during the operation. WSNs should complete a variety of missions during the operation It is difficult for fixed evaluation models to give a comprehensive evaluation of the reliability of WSNs. Energy depletion or accidental damage will cause nodes failure. The failure of any one of the two ends will cause the link failure. Due to the above features, reliability evaluation of WSNs becomes a challenging problem
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