Ad-Hoc, Mobile, and Wireless Networks: 4th International by J. J. Garcia-Luna-Aceves (auth.), Violet R. Syrotiuk, Edgar

By J. J. Garcia-Luna-Aceves (auth.), Violet R. Syrotiuk, Edgar Chávez (eds.)

This booklet constitutes the refereed complaints of the 4th foreign convention on Ad-Hoc Networks and instant, ADHOC-NOW 2005, held in Cancun, Mexico in October 2005.

The 27 revised complete papers offered including the abstracts of two invited talks have been conscientiously reviewed and chosen from over a hundred submissions. The papers talk about architectures, protocols, and algorithms for: entry keep watch over, scheduling, advert hoc and sensor networks analytic equipment and modelling for functionality assessment, characterization, optimization, auto-configuration, incentives and pricing, situation understanding, discovery, dependence, and administration, mesh networks, new functions, strength administration, strength keep an eye on, and energy-efficiency, quality-of-service, source allocation, multimedia, routing (unicast, multicast, etc.), safety and privateness, carrier discovery, platforms and testbeds, instant net, and knowledge management.

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Sample text

The base station holds Km along with the keys of each sensor node in the network. However, apart from the above keys that are preloaded to sensors during manufacture, there are also two types of symmetric keys that are constructed dynamically and allow information to be exchanged securely between a node and its neighbors as well as between a node and its clusterhead. 2, respectively. 1 Secure Inter-node Communication The use of pairwise keys allows a node to communicate securely with its immediate neighbors.

When the phase is over, both master keys Km C and Km are deleted from the memory of the new nodes. 4 Resource Requirements In this section we analyze the computational, communication and storage requirements for our key establishment protocol. The individual key of each sensor node is pre-computed and does not involve any processing or transmission overhead. The cost for establishing a group key in our protocol is the same as updating the group key in the cluster, thus we only analyze the cost for establishing the group key.

This implementation uses a weighting scheme of 85% weighting to the Lowest-ID or Highest-Degree logic and 15% to the trafficspecific information of position or velocity. The desire is to improve upon the initial clustering logic to obtain better stability over the simulation time. Equation 1: Utility = Sum (Wj*Rankj…) The weighting algorithm calculates a weight for each potential cluster head using normalized results from each of the component algorithms. Equation 1 shows the method for aggregating weights of each of the cluster methods.

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