Download e-book for iPad: Algorithms for Sensor Systems: 7th International Symposium by Shlomi Dolev (auth.), Thomas Erlebach, Sotiris Nikoletseas,

By Shlomi Dolev (auth.), Thomas Erlebach, Sotiris Nikoletseas, Pekka Orponen (eds.)

ISBN-10: 3642282091

ISBN-13: 9783642282096

This publication constitutes the completely refereed post-conference complaints of the seventh overseas Workshop on Algorithms for Sensor structures, instant advert Hoc Networks, and self reliant cellular Entities, ALGOSENSORS 2011, held in Saarbrücken, Germany, in September 2011. The sixteen revised complete papers provided including invited keynote talks have been rigorously reviewed and chosen from 31 submissions. The papers are equipped in tracks: sensor networks, protecting issues comparable to localization, lifetime maximization, interference regulate, neighbor discovery, self-organization, detection, and aggregation; and advert hoc instant and cellular platforms together with the subjects: routing, scheduling and ability optimization within the SINR version, non-stop tracking, and broadcasting.

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Extra resources for Algorithms for Sensor Systems: 7th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers

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A summary of our results is shown in Table 1. Table 1. Summary of lifetime results for RoundRobin algorithms. T is a random variable describing the per sensor lifetime under uniform random deployment. AC and W C show lower bounds for the average-case and upper bounds for the worst-case approximation ratios, respectively. 896 WC 2/3 2/3 2/3 2/3 Preliminaries For any set of sensor locations X, we assume that there exists some optimal schedule S = {ri (t)}ni=1 that will produce the longest possible lifetime TOP T .

The approximation ratio of Greedy is at most 5 6. Proof. Consider X = { 61 − , 12 , 56 }, for some > 0. Greedy chooses to activate the middle sensor by itself on U first, since that is the only perfect assigment possible. This produces a T approaching 5 as → 0, but TOP T = 6 is achievable in the limit (see Figure 2). 6 6 5 5 4 4 3 3 2 2 1 1 0 0 s1 1 4 1 s2 2 3 4 s3 1 (a) TOP T → 6 Fig. 2. Proof that Greedy is at best a happens as → 0. 3 0 0 s1 1 4 1 s2 2 3 4 s3 1 (b) TGreedy → 5 5 -approximation.

As mentioned before, the radius (as well as all other information required to execute the algorithm) can be sent in a single message. A pseudocode description is given by Algorithm 2. The expected number of rounds required to compute a solution, for which the invariant is satisfied for each node, is O(log1+ n). Step (1) requires a constant number of rounds, while step (2) is finished after O(log n) communication rounds in expectation (see Section 2). Finally, step (3) requires O(log1+ n) rounds. To see this, note that a node i changing its status to facility can only violate invariants of nodes that have a strictly larger radius than rˆi (nodes with strictly Algorithm 2.

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Algorithms for Sensor Systems: 7th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers by Shlomi Dolev (auth.), Thomas Erlebach, Sotiris Nikoletseas, Pekka Orponen (eds.)

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