Surveillance coverage of sensor networks under a random mobility strategy

Kesidis, George; Konstantopoulos, Takis; Phoha, Shashi

doi:10.1109/icsens.2003.1279085

Cited by 38 publications

(42 citation statements)

References 6 publications

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“…Some implementations to exploit externally available motion to transfer data physically instead of over the wireless links [13,32,33,34] have been considered. The problem of target detection by randomly moving sensor nodes has also been looked at [35]. All of these works assume that the mobility is random or available by some other means such a predictable path of a vehicle passing through the deployment.…”

Section: Related Workmentioning

confidence: 99%

Sensing uncertainty reduction using low complexity actuation

Kansal

Yuen

Kaiser

et al. 2004

Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks

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The performance of a sensor network may be best judged by the quality of application specific information return. The actual sensing performance of a deployed sensor network depends on several factors which cannot be accounted at design time, such as environmental obstacles to sensing. We propose the use of mobility to overcome the effect of unpredictable environmental influence and to adapt to run time dynamics. Now, mobility with its dependencies such as precise localization and navigation is expensive in terms of hardware resources and energy constraints, and may not be feasible in compact, densely deployed and widespread sensor nodes. We present a method based on low complexity and low energy actuation primitives which are feasible for implementation in sensor networks. We prove how these primitives improve the detection capabilities with theoretical analysis, extensive simulations and real world experiments. The significant coverage advantage recurrent in our investigation justifies our own and other parallel ongoing work in the implementation and refinement of self-actuated systems.

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Section: Related Workmentioning

confidence: 99%

Sensing uncertainty reduction using low complexity actuation

Kansal

Yuen

Kaiser

et al. 2004

Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks

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“…Many other kinds of motion randomization could be used [8]. but we chose annealing on a lattice because it is tractable in the following sense: Assuming no simultaneous motion of nodes, we show in the following theorem that limit of this annealing motion tends to the (assumed unique) state x that minimizes…”

Section: Mobility By Distributed Annealingmentioning

confidence: 99%

“…In [8], the authors evaluate the distribution of the time until detection of a point-target under purely random (diffusion) mobility per node. Given an associated Bessel process describing the distance between any two given nodes, there also exist expressions for the distribution of the time between successive contact of any two nodes assuming each of their communication ranges is bounded, see [1, p. 207].…”

Section: Related Workmentioning

confidence: 99%

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Purposeful mobility for relaying and surveillance in mobile ad hoc sensor networks

Rao

Kesidis

2004

IEEE Trans. on Mobile Comput.

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Abstract-In this paper, we consider a mobile ad hoc sensor network. The mobility of the sensor nodes is designed with the cost of communication and mobility in mind along with consideration of the possible scanning tasks of the nodes. Our mobility algorithm is developed in the context of a distributed system where, for any single mobile node, only local information about associated energy costs is known. We use a distributed simulated annealing framework to govern the motion of the nodes and prove that, in a limiting sense, a global objective function comprising mobility and communication energy costs will be minimized. This paper concludes with a simulation study focusing on mobile sensors with dual roles of scanning and relaying higher priority tracking traffic from tracking nodes.

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“…Knowledge of the location of sensors can be employed, for instance, to improve the robustness and to reduce the power consumption in WSNs through routing optimization [1], not to mention that localization and tracking functionalities are themselves often required in many WSN applications such as surveillance systems [2].…”

Section: Introductionmentioning

confidence: 99%

MAC Performances for Localization and Tracking in Wireless Sensor Networks

Macagnano

Destino

Esposito

et al. 2007

2007 4th Workshop on Positioning, Navigation and Communication

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Abstract-Time delay rather then throughput, is a constraint of great importance in tracking systems. In particular, the maximum accces delay permissible by the application is strongly related to the dynamics of theracked objects. The purpose of this article is to study the performance of a new media access control (MAC) technology specifically suited for LDR UWB systems [3] under a tracking application point of view. Specifically, the time delay necessary to collect the ranging information in both, star and meshed topology networks, have been studied as function of the number of mobiles in the network.More importantly, we propose two new ranging packet to be used inside the aforementioned MAC, in order to achieve in both network topologies, a clear advantage compared to the current solution.

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Surveillance coverage of sensor networks under a random mobility strategy

Cited by 38 publications

References 6 publications

Sensing uncertainty reduction using low complexity actuation

Sensing uncertainty reduction using low complexity actuation

Purposeful mobility for relaying and surveillance in mobile ad hoc sensor networks

MAC Performances for Localization and Tracking in Wireless Sensor Networks

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