Algorithmic Aspects of Wireless Sensor Networks: Fourth by Sandor P. Fekete

By Sandor P. Fekete

This e-book constitutes the reviewed court cases of the Fourth overseas Workshop on Algorithmic elements of instant Sensor Networks, ALGOSENSORS 2008, held in Reykjavik, Iceland, Wroclaw, Poland, July 12, 2008. The workshops aimed toward bringing jointly study contributions with regards to various algorithmic and complexity-theoretic features of instant sensor networks. the subjects contain yet are usually not constrained to optimization difficulties, noise and likelihood, robots and excursions.

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Extra resources for Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, Algosensors 2008, Reykjavik, Iceland, July 2008. Revised Selected Pape ... Computer Science Computer Communication N)

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In [9] further refinement of slot distribution strategies are developed. But even with these refinements, the channel usage is still fairly low and decreases with growing network size. In the same paper, there is another scheme (similar to ours in Section 2) which, however, leads to unlimited buffer size and the control message overhead is not analyzed. DOZER ([10]) is an approach that tries to solve the problems of medium access, tree construction and scheduling together. The authors employ a local TDMA scheme which reduces requirements on clock synchronization but does not ensure fairness.

As a result, provable-quality tracking and counting of targets requires a richer class of sensors. In this paper, we work with an abstract model of a counting sensor : each sensor outputs an integer value, representing the number of distinct targets in its sensing range. Each target is modeled as a point. The sensor produces no other information about the targets, such as their locations, angles, distances, or any other distinguishing identifiers. While a convenient abstraction for our theoretical investigation of the fundamental limits of target counting and localization, such a sensor is also a fairly good first-order approximation of low-cost radar sensors that can detect the presence of multiple targets but cannot localize them individually.

Our approximate counting algorithm, however, is non-constructive, in that it does not necessarily produce a configuration of targets consistent with the sensing input—it just produces upper and lower bounds on the target population. Furthermore, it is easy to show examples where not all target counts between Target Counting under Minimal Sensing: Complexity and Approximations 33 the lower and upper bounds are feasible, meaning that there is no possible configuration of targets that is consistent with the sensors’ readings.

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Algorithmic Aspects of Wireless Sensor Networks: Fourth by Sandor P. Fekete
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