A wide range of applications have started to use Wireless Sensor Networks (WSNs) as an information collection and monitoring tool. However, the networks may suffer from various factors that degrade their functionality. One of these factors is the frequent deviation of WSN nodes from their normal operation because of sensor device problems, battery issues and harsh environment they are in. These deviations may case a decrease in the quality and the quantity of the collected data, and use more network resources that reduce network lifetime. The goal of this paper is to propose a new distributed performance algorithm that insures the detection of deviations that degrade WSN collected data and reduce their impact on network functionality. Simulation results showed that the proposed algorithm achieved a high-level of detection reliability on node status. In addition, they showed that the proposed algorithm is resilient to both high packet loss and environmental changes.

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Although the special characteristics of Wireless Sensor Networks (WSNs) help in reducing sensor node manufacturing and implementation costs, they add new challenges, make network resources scare and reduce network immunity against different conditions. This increases the probability of network nodes deviating from their normal operation and causes network functionality degradation in terms of collected data accuracy and resource use. This paper proposes a distributed monitoring performance algorithm, which tracks these deviations and isolates those that degrade network performance. The results obtained from the empirical and simulation experiments show that the algorithm achieves a high-level of detection reliability with resilience to both high packet loss and environmental changes.

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