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Environmental monitoring is one of the most popular applications in wireless sensor networks. Although it is important to obtain a continuous record of the environment, users may gain enough information without receiving every routine sensor measurement. Reducing unnecessary traffic allows better utilization of the network resources. However, it is uneasy to decide on when and what kind of traffic...
Wireless sensor-actuator networks (WSANs) have recently been suggested as an extension to conventional sensor networks. The powerful and mobile actuators can patrol along different routes and communicate with the static sensor nodes. Obviously, it is crucial to optimize the routes for the actuators to collect the sensor data in a timely fashion. Given the nonuniform and time-varying distribution of...
Wireless sensor networks (WSN) can report large volumes of slowly varying routine data, while important or significant events can be relatively rare. An important challenge is then to offer the significant or unusual data an adequate routing policy that will allow it to rapidly reach the sink nodes, despite the large volume of routine packets in the network. In this paper we introduce randomized re-routing...
Wireless sensor-actuator networks (WSANs) can be useful to cope with the connectivity limitations of sparse networks by allowing powerful and mobile actuators periodically collect data from sensors. We propose a low-overhead algorithm that takes advantage of any potential connectivity present in sensors to form clusters that can expose single collection points, therefore, optimizing actuator data...
Wireless sensor-actuator networks (WSANs) have recently been suggested as an enhancement to the conventional sensor networks. The powerful and mobile actuators can patrol along different routes and communicate with the static sensor nodes. This work is motivated by applications in which the objective is to minimize the data collection time in a stochastic and dynamically changing sensing environment...
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