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For some sensor network applications, the problem of sweep coverage, which periodically covers POIs (Points of Interest) to sense events, is of importance. How to schedule minimum number of mobile sensors to achieve the sweep coverage within specified sweep period is a challenging problem, especially when the POIs to be scanned exceeds certain scale and the speed of mobile sensor is limited. Therefore,...
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,...
Wireless sensor networks (WSNs) is emerging as a key tool for data acquisition in many applications, and localization algorithms of the sensors have a vital importance due to the intrinsic characteristics of this type of networks. The objective of this paper is to propose an algorithm of range-free localization for WSNs using a mobile beacon node equipped with a rotary directional antenna. The azimuthally...
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...
With the advancement of MEMS techniques, mobile sensors with low cost and high capability are being deployed widely to carry out all kinds of complicated, risky tasks in large scale networks, especially in the areas are inaccessible to the human. Mobile sensors, which have the function of self-detection and self-repair, are desirable to solve the problem of failure of sensors, which causes costly...
It is significant to deploy a mobile sensor network periodically sweeping from the upriver to the downriver to monitor the water quality of the third large river in China. An important problem in this network is how to maximize the dynamic coverage efficiency while maintain the connectivity of network. To solve this problem, we borrow the idea of flocking-birds model in artificial life field and propose...
We investigate reconfiguration in large-scale mobile wireless sensor networks. Consider a field of interest (FoI) divided into sub-regions, each of which has a distinct set of sensing requirements. Consider a mobile network consisting of nodes with heterogeneous sensing capabilities distributed within the FoI. We address the problem of reconfiguring the network at minimal cost so as to satisfy all...
We develop opportunistic scheduling policies for cognitive radio networks that maximize the throughput utility of the secondary (unlicensed) users subject to maximum collision constraints with the primary (licensed) users. We consider a cognitive network with static primary users and potentially mobile secondary users. We use the technique of Lyapunov Optimization to design an online flow control,...
In this paper, we propose a cognitive radio-based multi-user resource allocation framework for mobile ad hoc networks using multi-carrier DS CDMA modulation over a frequency-selective fading channel. In particular, given pre-existing communications in the spectrum where the system is operating, in addition to potential narrow-band interference, a channel sensing and estimation mechanism is provided...
In this paper, we present a novel sensor deployment algorithm, called the adaptive triangular deployment (ATRI) algorithm, for large-scale unattended mobile sensor networks. The ATRI algorithm aims at maximizing coverage area and minimizing coverage gaps and overlaps by adjusting the deployment layout of nodes close to equilateral triangulation, which is proven to be the optimal layout to provide...
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