Read e-book online Algorithms and Protocols for Wireless Sensor Networks (Wiley PDF

By Azzedine Boukerche

ISBN-10: 0470396350

ISBN-13: 9780470396353

ISBN-10: 0471798134

ISBN-13: 9780471798132

A one-stop source for using algorithms and protocols in instant sensor networksFrom a longtime overseas researcher within the box, this edited quantity presents readers with complete insurance of the basic algorithms and protocols for instant sensor networks. It identifies the study that should be carried out on a couple of degrees to layout and determine the deployment of instant sensor networks, and gives an in-depth research of the advance of the following new release of heterogeneous instant sensor networks.Divided into nineteen succinct chapters, the publication covers: mobility administration and source allocation algorithms; communique versions; power and gear intake algorithms; functionality modeling and simulation;authentication and acceptance mechanisms; algorithms for instant sensor and mesh networks; and set of rules tools for pervasive and ubiquitous computing; between different topics.Complete with a collection of demanding workouts, this booklet is a worthy source for electric engineers, desktop engineers, community engineers, and laptop technology experts. worthwhile for teachers and scholars alike, Algorithms and Protocols for instant Sensor Networks is a perfect textbook for complex undergraduate and graduate classes in computing device technology, electric engineering,and community engineering.

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F. Wang. Adaptive stream resource management using Kalman filters. In Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data (SIGMOD’04), Paris, France, 2004. ACM, New York, pp. 11–22, ISBN 1-58113859-8. 1007573. 79. INFOCOM, editor. 20th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2001), Anchorage, AK, April 2001, IEEE, New York. 80. Mobicom, editor. Proceedings of the 7th Annual ACM/IEEE International Conference on Mobile Computing and Networking (Mobicom ’01), Rome, Italy, July 2001, ACM, New York, ISBN 1-58113-422-3.

1987 of Lecture Notes in Computer Science, Hong Kong, China, January 2001, Springer, pp. 3–14. 47. S. Shenker, S. Ratnasamy, B. Karp, R. Govindan, and D. Estrin. Data-centric storage in sensornets. ACM SIGCOMM Computer Communication Review, 33(1):137–142, 2003. 48. S. Ratnasamy, B. Karp, S. Shenker, D. Estrin, R. Govindan, L. Yin, and F. Yu. Datacentric storage in sensornets with ght, a geographic hash table. Mobile Networks and Applications, 8(4):427–442, 2003. 49. A. Ghose, J. Grossklags, and J.

As a result, the recognition algorithm is executed using higher-fidelity webcams and the more capable processors of stage two nodes. As a proof-of-concept, SensEye implements two well-known recognition algorithms from the computer vision literature in the stage two nodes [5]. Object tracking in SensEye involves a combination of detection, localization, and wake-up, in addition to recognition. The current system can track objects moving slowly. An experimental evaluation of SensEye shows that, compared to a flat network architecture, an order of magnitude improvement in energy usage is obtained.

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Algorithms and Protocols for Wireless Sensor Networks (Wiley Series on Parallel and Distributed Computing) by Azzedine Boukerche

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