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Algorithms for distributed and mobil...

Isler, Ibrahim Volkan.

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Algorithms for distributed and mobile sensing.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Algorithms for distributed and mobile sensing./
作者:	Isler, Ibrahim Volkan.
面頁冊數:	179 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3001.
Contained By:	Dissertation Abstracts International65-06B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3138032
ISBN:	0496852027

Algorithms for distributed and mobile sensing.
Isler, Ibrahim Volkan.

Algorithms for distributed and mobile sensing. - 179 p.

Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3001.

Thesis (Ph.D.)--University of Pennsylvania, 2004.

Sensing remote, complex and large environments is an important task that arises in diverse applications including planetary exploration, monitoring forest fires and the surveillance of large factories. Currently, automation of such sensing tasks in complex environments is achieved either by deploying many stationary sensors to the environment, or by mounting a sensor on a mobile device and using the device to sense the environment.

ISBN: 0496852027Subjects--Topical Terms:

626642
Computer Science.

Algorithms for distributed and mobile sensing.
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245 1 0 $a Algorithms for distributed and mobile sensing.
300 $a 179 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3001.
500 $a Supervisors: Kostas Daniilidis; Sampath Kannan.
502 $a Thesis (Ph.D.)--University of Pennsylvania, 2004.
520 $a Sensing remote, complex and large environments is an important task that arises in diverse applications including planetary exploration, monitoring forest fires and the surveillance of large factories. Currently, automation of such sensing tasks in complex environments is achieved either by deploying many stationary sensors to the environment, or by mounting a sensor on a mobile device and using the device to sense the environment.
520 $a The Eighties and Nineties witnessed tremendous advances in both distributed and mobile sensing technologies. To take advantage of these technologies, it is crucial to design algorithms to perform sensing tasks in an autonomous fashion. In this dissertation, we study four fundamental sensing problems that arise in sensing complex environments with distributed and mobile systems.
520 $a For mobile sensing systems we study exploration and pursuit-evasion problems. In the exploration problem, the goal is to design a strategy for a mobile robot so that the robot sees every point in an unknown environment as quickly as possible. In the pursuit-evasion problem, the goal is to design a strategy for a pursuer to capture an adversarial evader.
520 $a For distributed sensing systems we study placement and assignment problems. In the placement problem, the goal is to place sensors to an environment so that every point in the environment is in the range of at least one sensor. The assignment problem deals with the issue of assigning targets to sensors in a network, so that overall error in estimating the position of the targets is minimized.
520 $a We present algorithms to perform these sensing tasks in an efficient fashion. Performance guarantees of the algorithms are mathematically proven and evaluated by simulations.
590 $a School code: 0175.
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