Download Ad-hoc, Mobile and Wireless Networks: 7th International by Andreas Wiese, Evangelos Kranakis (auth.), David Coudert, PDF

By Andreas Wiese, Evangelos Kranakis (auth.), David Coudert, David Simplot-Ryl, Ivan Stojmenovic (eds.)

This booklet constitutes the refereed lawsuits of the seventh overseas convention on Ad-Hoc, cellular, and instant Networks, ADHOC-NOW 2008, held in Sophia-Antipolis, France, September 2008.

The forty revised complete papers and the 15 poster shows have been conscientiously reviewed and chosen from a hundred and ten submissions. The papers care for advances in Ad-Hoc networks, i.e. instant, self-organizing structures shaped by way of co-operating nodes inside conversation variety of one another that shape transitority networks. Their topology is dynamic, decentralized, ever altering and the nodes may perhaps circulation round arbitrarily.

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Extra info for Ad-hoc, Mobile and Wireless Networks: 7th International Conference, ADHOC-NOW 2008 Sophia-Antipolis, France, September 10-12, 2008 Proceedings

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According to [2], the default HELLO_INTERVAL value is 2 seconds. Hello messages are used for link sensing. When node mobility is high, this default value may be too long, causing a node’s MPR set or routing table entries to be inaccurate and resulting in packet loss. On the other hand, in low-mobility environments, there is no reason for nodes to frequently broadcast Hello messages, as the set of neighboring nodes is changing relatively slowly. Each MPR node periodically broadcasts Topology Control (TC) messages, which includes links to its MPR selector set.

If the quantity ξk has the characteristics of white Gaussian noise (AWGN), it can be removed easily with a Kalman Filter (KF). In general, however, ξk is not AWGN. A similar problem had been addressed in [9] for estimating the generation rate of ATM cells on the basis of the observation of their arrival time. However, it has to be noted that the origin of the measurement errors, and hence the characteristics of the error process, differs in the two cases. In the cited paper, ATM cells arrive with variable delays, which depend mainly on the queuing process in the intermediate nodes, while, in our case, the measurement error ξk is mainly due to the the adjustment process of the beacon generation time in all nodes between n and the reference and might experience sudden variations.

Contrary to the algorithm proposed in [8], the solution we propose does also not require any additional traffic in order to make the synchronization stable. On the Implementation on Low-Resource Devices. An implementation of the proposed algorithm on a sensor node requires the availability of enough memory to store the data for the computation of the smoothing filter and of the coefficients of the AR(1) model. The number of data items which have to be stored is proportional to N + P + 1, were N is the number of points of the prefilter and P is the number of points considered for the computation of the autocorrelation values.

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