Advances in Wireless Sensor Networks: 7th China Conference, - download pdf or read online

By Limin Sun, Huadong Ma, Feng Hong

ISBN-10: 3642545211

ISBN-13: 9783642545214

ISBN-10: 364254522X

ISBN-13: 9783642545221

This e-book constitutes the refereed court cases of the seventh China convention of instant Sensor Networks, held in Qingdao, China, in October 2013. The 35 revised complete papers have been rigorously reviewed and chosen from 191 submissions. The papers conceal quite a lot of subject matters within the instant sensor community fields like node structures, infrastructures, communique protocols, information management.

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Read Online or Download Advances in Wireless Sensor Networks: 7th China Conference, CWSN 2013, Qingdao, China, October 17-19, 2013. Revised Selected Papers PDF

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Additional info for Advances in Wireless Sensor Networks: 7th China Conference, CWSN 2013, Qingdao, China, October 17-19, 2013. Revised Selected Papers

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Ma, J. Ma, and P. Xu the flowchart of AVAPCR-ACO algorithm for optimal routing selection. The detailed steps are as follows: 1. Initialize parameters. Set the maximum number of cycles Nc max , the number of cycles Nc = 0, τij (t) = const, and Δτij (t) = 0. 2. Place m ants on n cluster heads randomly. 3. Nc ← Nc + 1. 4. Set the index of Tabu tables k=1. 5. k = k + 1. 6. Calculate the transition probability using Formula (1) for ants to select cluster head j, j ∈ {C − tabuk }. 7. Select the maximum transition probability, move ant to this cluster head, and add this cluster head to the tabu table.

These works take a common assumption that the whole topology is known by all nodes in the network. However, such assumption is not match with the physical network. Encouragingly, many schemes have been proposed to generate a small connected dominating set with information of local topology. Such protocols can be catalogued into two types. The first one is based on pruning strategy, at the beginning of pruning, all nodes try to exclaim to be a dominator, then algorithm delete some nodes to build a connected dominating set.

The computational complexity is O(σ 2 ) and message complexity is O(σ), where σ is the maximum node degree. Wu and Dai et al proposed a common framework to iterative localized solve the connected dominating set problem in ad-hoc networks [10]. Such framework iteratively applied the localized dominator selection method, combining with coping with the dynamic network topology. A spinning tree-based algorithm has been proposed by Wan et al to solve the weakly connected dominating set problem (WCDS) [11].

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Advances in Wireless Sensor Networks: 7th China Conference, CWSN 2013, Qingdao, China, October 17-19, 2013. Revised Selected Papers by Limin Sun, Huadong Ma, Feng Hong


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