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In this paper, we study full-view coverage in camera sensor networks, by exploiting their limited mobility of orientation rotation. We focus on the fairness based coverage maximization problem, i.e., how to schedule the orientations of the camera sensors to maximize the minimum accumulated full-view coverage time of target points. To solve this problem, we first try to reduce the space dimension of...
Barrier coverage in sensor networks has attracted much attention in recent years. Existing results revealed that sensor mobility can remarkably improve the coverage performance of sensor networks. Considering the high manufacture cost of mobile sensors, in this paper we propose to tradeoff the barrier coverage performance and deployment budget by employing a wireless sensor and actor network (WSAN),...
Recently a flood of literature concerned on the security issues of wireless networked control system. However, it is still lack of investigation on how the attacker should optimize its attack schedule in order to maximize the effect on the system performance due to the insufficiency of energy at the attacker side. This paper fills this gap from the aspect of control system performance. Especially,...
Crowdsensing offers an efficient approach to meet the demand in large scale sensing applications. In crowdsensing, it is of great interest to find the optimal task allocation, which is challenging since sensing tasks with different requirements of quality of sensing are typically associated with specific locations and mobile users are constrained by time budgets. We show that the allocation problem...
Wireless rechargeable sensor network is a promising platform for long-term applications such as inventory management, supply chain monitoring and so on. For these applications, sensor localization is one of the most fundamental challenges. Different from traditional sensor node, wireless rechargeable sensor has to be charged above a voltage level by the wireless charger in order to support its sensing,...
In this paper we study area coverage in bistatic radar sensor networks (BRSN), which is composed of a collection of transmitters and receivers. Coverage in BRSN is much more difficult than that in traditional sensor networks as the sensing area of a bistatic radar depends on the positions of its component transmitter and receiver, and is in general of an elliptical shape. We first investigate the...
Scalar field mapping has many applications including environmental monitoring, search and rescue, etc. In such applications there is a need to achieve a certain level of confidence regarding the estimates at each location. In this paper, a cooperative and active sensing framework is developed to enable scalar field mapping using multiple mobile sensor nodes. The cooperative and active controller is...
Data gathering in wireless sensor networks typically involves two steps: data sensing and data transmission, which dominate the energy consumption of each sensor. In Rechargeable Sensor Networks (RSNs), in order to optimize data gathering, energy should be carefully allocated to data sensing and data transmission due to time-varying renewable energy arrival and limited battery capacity. Moreover,...
Energy harvesting is a promising technology for extending the lifetime of sensor networks with the restrictions of limited battery energy. One of the main challenging issues is to maximize the sampling rates of all sensor nodes. In this paper, we are concerned with how to adaptively decide the sampling rate for each rechargeable sensor node with a limited battery capacity to maximize overall network...
In this paper, we propose a coordinate-free distributed boundary detection algorithm (CDBD). It adopts general sensing and communication models and exploits two centrality measures, i.e., betweenness and closeness. For CDBD, each node only needs to communicate with its $k$-hop neighbors twice and makes decision whether it itself is a boundary node independently. CDBD has advantages of fast convergence...
Smart grid is widely considered to be the next generation of power grid, which will be integrated with information feedback communication to improve agility, reliability, efficiency and security. One of the key foundations of smart grid is timely access to meter data via reliable communication infrastructure. In this paper, we introduce cognitive radio into home area networks of smart grid, whose...
Recently, wireless recharging technologies have merged as a promising approach to address the energy constraint problem in Wireless Sensor Networks (WSNs). Far from other energy-harvesting sensor nodes, wireless rechargeable sensor nodes are thin small-size, enabling a large range of applications such as embedded infrastructure sensing and human activity recognition. A typical Wireless Rechargeable...
In target tracking applications, active ultrasonic sensors can provide satisfactory distance estimations, but also suffer from inter-sensor-interference when they are not well scheduled. In this paper, we propose a distributed saturation degree based algorithm (DSDA), which assigns the TDMA slot in wireless sensor networks distributively in order to avoid the interference. By adopting a graph coloring...
In this paper, we consider sensor data scheduling over a packet-dropping network. A sensor having sufficient computation capability runs a local Kalman filter and needs to communicate its local state estimate to a remote estimator. However, the sensor has to decide at each time whether to send its local estimate data to the remote estimator or not due to its limited communication energy. We first...
For target tracking applications, active ultrasonic sensors may suffer from inter-sensor-interference when these highly dense deployed sensors are not scheduled. In this paper, we propose a dynamic distributed sensor scheduling (DSS) scheme, where the tasking sensor is elected spontaneously from the sensors with pending sensing tasks in a distributed way via random competition by using Carrier Sense...
We analyze the ability of a stochastic coverage algorithm to achieve both accurate threat-based coverage and effective information capture. When mobile sensors are used to cover the region over time, the goal of threat-based coverage is to allocate the sensors' coverage time between the subregions in proportion to their threat levels. We show that, in contrast to prior results on mobile coverage for...
This paper studies the problem of determining the sensors' locations in wireless sensor networks. To alleviate the influence of the noise and the inaccurate measurement in the complicated environment, rather than estimating the pair-wise Euclidean distance between sensors, we use the geodesic distance to measure the dissimilarity between sensors, and employ the isomap algorithm to determine the relative...
Our solution builds on a kernel-based method called the support vector machine (SVM) for determining the locations of the nodes. The basic SVM algorithm contains two steps: (1) one-region classification using the SVM; and (2) multi-region localization which is a repeated application of one-region classification for a number of different regions. In this paper, we first analyze the error effects of...
Wireless sensor and actuator networks (WSAN) are increasingly popular due to their abilities to detect and react to interesting events in the physical world. In this paper, a new indoor WSAN system in the context of pursuit evasion games (PEGs) is designed and implemented. Our goal is to take advantage of the WSAN capabilities to perform target tracking and capture. We design the system control model,...
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