By Symeon Papavassiliou, Stefan Ruehrup
This ebook constitutes the lawsuits of the 14th overseas convention on advert Hoc Networks and instant, ADHOC-NOW 2015, held in Athens, Greece in June/July 2015. The 25 complete papers provided during this quantity have been rigorously reviewed and chosen from fifty two submissions. The e-book additionally includes three full-paper invited talks. The contributions are geared up in topical sections named: routing, connectivity, and source allocation; localization, sensor deployment, and mobility administration; allotted computing with cellular brokers; effective, trustworthy, and safe clever power networks; and rising communications, networking and computing applied sciences for VANETs 2.0.
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Extra info for Ad-hoc, Mobile, and Wireless Networks: 14th International Conference, ADHOC-NOW 2015, Athens, Greece, June 29 -- July 1, 2015, Proceedings
Such problems also capture edge multicoloring variants (such as MinAvgMultEMC, Min-EMC, and MaxEMC) as special cases and ﬁnd numerous applications in resource allocation, most notably in optical and wireless networks, and in communication task scheduling. Our contribution is two-fold: On the one hand, we give an exact polynomial-time algorithm for Min-PMC on spider networks with even admissible color multiplicities on each edge. On the other hand, we present an approximation algorithm for MinAvgMult-PMC in star networks, with a ratio strictly better than 2; our algorithm uses an appropriate path orientation.
In: International Conference on Ad hoc Networks and Wireless (ADHOC-NOW) (2013) 12. : The ant colony optimization meta-heuristic. , Glover, F. ) New Ideas in Optimisation. McGraw-Hill, London (1999) 13. : The ant colony optimization metaheuristic: algorithms, applications, and advances. A. ) Handbook of Metaheuristics, pp. 250–285. Springer, US (2003) 14. : Classical and swarm intelligence based routing protocols for wireless sensor networks: a survey and comparison. J. Netw. Comput. Appl. 35, 1508–1536 (2012) 15.
Color multiplicity in such considerations can model the number of time frames needed to complete a given set of communication tasks. Therefore, solving MinAvgMult-EMC amounts to minimizing the average time per node, while Min-EMC corresponds to minimizing the number of channels needed to accomplish all tasks, given the time availability of each particular component of the network. Finally, Max-EMC describes the situation where both the number of channels and the desired or available time per node are provided and the goal is to maximize the number of served communication requests.
Ad-hoc, Mobile, and Wireless Networks: 14th International Conference, ADHOC-NOW 2015, Athens, Greece, June 29 -- July 1, 2015, Proceedings by Symeon Papavassiliou, Stefan Ruehrup