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 entire 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 verify the deployment of instant sensor networks, and gives an in-depth research of the improvement of the following new release of heterogeneous instant sensor networks.Divided into nineteen succinct chapters, the booklet covers: mobility administration and source allocation algorithms; conversation types; strength and gear intake algorithms; functionality modeling and simulation;authentication and attractiveness 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 e-book is a beneficial source for electric engineers, laptop engineers, community engineers, and computing device technological know-how experts. important 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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Additional resources for Algorithms and Protocols for Wireless Sensor Networks (Wiley Series on Parallel and Distributed Computing)
This involves multiple tasks including computing the location and trajectory of the object, the ability to track the object as it moves out of the visual range of one camera sensor and into the range of another, and streaming video (or a sequence of still images) of the object to a monitoring station. In order to achieve low latency in detection without sacrificing energy efficiency, a staged architecture is used. Low-fidelity cameras perform the simpler task of motion detection, while higher-fidelity cameras are woken up on-demand for object recognition and tracking.
B. Przydatek, D. Song, and A. Perrig. SIA: Secure information aggregation in sensor networks. In Akyildiz et al. , pp. 255–265, ISBN 1-58113-707-9. 62. T. Imielinski and S. Goel. DataSpace: Querying and monitoring deeply networked collections in physical space. IEEE Personal Communications, 7(5):4–9, 2000. 63. M. A. Sharaf, J. Beaver, A. Labrinidis, and P. K. Chrysanthis. TiNA: A scheme for temporal coherency-aware in-network aggregation. In Proceedings of the 3rd ACM International Workshop on Data Engineering for Wireless and Mobile Access, San Diego, CA, September 2003, ACM, New York, pp.
To date, most of the work has focused on homogeneous WSNs, where all of the nodes in the network are of the same type. However, the continued advances in miniaturization of processors and in low-power communications combined with mass-produced sensors have enabled the development of a wide variety of nodes. When more than one type of node is integrated into a WSN, it is called heterogeneous. While many of the existing civilian and military applications of heterogeneous wireless sensor networks (H-WSNs) do not differ substantially from their homogeneous counterparts, there are compelling reasons to incorporate heterogeneity into the network.