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One of the most popular and efficient methods for conserving energy in Wireless Sensor Networks (WSNs) is data aggregation. This technique usually introduces an additional delay in the transmission of data packets. The inherent trade-off between energy consumption and end-to-end delay imposes an important decision to be made by the nodes, mainly to determine the most appropriate time for aggregating...
Data aggregation techniques have emerged as promising solutions for extending Wireless Sensor Networks (WSNs) lifetime. However, this approach suffers from a design issue in delivering the strict requirements needed by some monitoring applications. Carefully balancing Energy, Delay and Accuracy is essential for achieving these requirements. In this work, we focus on distributed data aggregation, where...
In this paper, we present a novel bio-inspired trusted routing framework (B-iTRF) which composed of trust mechanism and routing strategy. For trust mechanism, B-iTRF monitors neighbors' behavior in real time and then assesses neighbors' trust value based on the priori knowledge. For routing strategy, each node finds routes to the Sink based on ant colony optimization. In the process of path finding,...
Wireless Sensor Networks (WSNs) are anticipated to become the preferred tools of choice for monitoring and controlling power utility assets in the smart grid due to their versatility. However, in some smart grid monitoring applications, data generation rates could fluctuate rapidly due to the sudden occurrence of critical faults or failures in the monitored equipment. As a consequence, critical data...
The use of Wireless Sensor Networks (WSNs) to monitor and control power utility assets in the smart grid is gaining increasing popularity due to their various desirable features. WSNs with multihop cluster tree topologies solve the limited coverage problem of sensor nodes. However, in smart grid monitoring applications, data rates could increase suddenly due to the occurrence of critical faults in...
Wireless Sensor Networks (WSNs) are emerging as promising tools to aid in monitoring the smart grid. WSNs can be easily deployed in a wide number of smart grid assets such as substations, overhead power lines and power generation sites. They offer ubiquity and flexibility at a low-cost. However it may be difficult to offer the Quality of Service (QoS) demanded by the smart grid applications with WSNs...
In critical infrastructure monitoring applications, the packet arrival rates of a Wireless Sensor Network (WSN) may abruptly increase when cascaded failures are observed in the monitored environment. WSNs with cluster-tree topologies could experience excessive delays because of this increase in packet arrival rates. Therefore, there should be an optimum operating point in the network where the network...
In Wireless Sensor Network (WSN) based smart grid condition monitoring applications (e.g., the detection of a Partial Discharge (PD) event in high voltage transformers), network traffic dramatically increases when cascaded faults occur. Reliability and delay are among the main issues that are affected by this increase in the traffic rates. In this paper, we present an adaptive Quality of Service (QoS)...
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