By Azzedine Boukerche

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 accomplished insurance of the basic algorithms and protocols for instant sensor networks. It identifies the learn that should be performed on a couple of degrees to layout and verify the deployment of instant sensor networks, and offers an in-depth research of the improvement of the subsequent new release of heterogeneous instant sensor networks.Divided into nineteen succinct chapters, the e-book covers: mobility administration and source allocation algorithms; conversation versions; strength and tool intake algorithms; functionality modeling and simulation;authentication and recognition mechanisms; algorithms for instant sensor and mesh networks; and set of rules equipment for pervasive and ubiquitous computing; between different topics.Complete with a collection of demanding workouts, this publication is a useful source for electric engineers, desktop engineers, community engineers, and desktop technology experts. helpful 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 technological know-how, electric engineering,and community engineering.

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Extra info for Algorithms and Protocols for Wireless Sensor Networks (Wiley Series on Parallel and Distributed Computing)

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This means that it is ensured that almost all the nodes run out of energy at about the same time so that there is very little energy lost due to residual energy. The results comparing a random deployment of nodes with a deployment in which nodes are √ placed deterministically along grid points show that λ1 scales approximately as λ0 . The results can be extended to take into account unreliable nodes. Duarte-Melo and Liu [25] examine the performance and the energy consumption of a heterogeneous WSN providing periodic data from a sensor field to a remote receiver.

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. Chuang. Resilient data-centric storage in wireless ad-hoc sensor networks. -S. Chen, P. K. Chrysanthis, M. Sloman, and A.

1627–1632. 51. -C. Shen, C. Srisathapornphat, and C. Jaikaeo. Sensor information networking architecture and applications. IEEE Personal Communications Magazine, 8(4):52–59, 2001. 52. -f. Hsin and M. Liu. A distributed monitoring mechanism for wireless sensor networks. In Proceedings of the ACM Workshop on Wireless Security (WiSe’02), Atlanta, GA, September 2002, ACM, New York, pp. 57–66. 53. J. Zhao, R. Govindan, and D. Estrin. Computing aggregates for monitoring wireless sensor networks. In Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications (SNPA 2003), Anchorage, AK, May 2003, IEEE, New York, pp.

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