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The recent advances in radio and embedded system technologies have enabled the proliferation of wireless microsensor networks. Such wirelessly connected sensors are released in many diverse environments to perform various monitoring tasks. The effectiveness of these networks is determined to a large extent by the coverage provided by the sensor deployment. The positioning of sensors affect coverage,...
In this work, we present a monitor and rescue system utilizing hybrid networks which is a integration of stationary sensor networks and mobile sensor networks: stationary sensor networks comprised of large numbers of small, simple, and inexpensive wireless sensors, and the mobile sensor network contains a set of mobile sensors (robots). The static sensors in our network have “monitoring” ability,...
The benefits of using mobile sink to prolong sensor network lifetime have been well recognized. However, few provably theoretical results remain are developed due to the complexity caused by time-dependent network topology. In this work, we investigate the optimum routing strategy for the static sensor network. We further propose a number of motion stratifies for the mobile sink(s) to gather real...
In this paper we consider a probabilistic approach to the problem of localization in wireless sensor networks (WSNs) consisting of mobile nodes, and propose a distributed algorithm that help unknown nodes determine their positions. Our proposal is a range-free positioning system based on heading data, which can be provided by a variety of orientation-tracking sensors of different precisions, applied...
In the area of mobile ad hoc and sensor networks, simulation became the evaluation method of choice. Due to the high number of variables - including transmission range, number of nodes, simulation area, mobility pattern-simulation settings vary largely from work to work, depending on the application scenario focused. The results for two simulations with identical setting, but different mobility models,...
We propose a localization algorithm that tries to improve the Monte Carlo technique for mobile sensor networks by merging different alternatives into the original Monte Carlo algorithm. Our objective is to reduce some of its existing liabilities, while guaranteeing a better accuracy, faster localization convergence, and controlled communication overhead.
Static always-on wireless sensor networks (WSNs) are affected by the energy sink-hole problem, where sensors nearer a central gathering node, called the sink, suffer from significant depletion of their battery power (or energy). It has been shown through analysis and simulation that it is impossible to guarantee uniform energy depletion of all the sensors in static uniformly distributed always-on...
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