By Nathalie Mitton, Melike Erol Kantarci, Antoine Gallais, Symeon Papavassiliou
This e-book constitutes the lawsuits of the foreign convention on advert Hoc Networks, ADHOCNETS 2015, held in September 2015 in Italy.
The 17 usual and three invited papers provided have been rigorously reviewed and chosen from quite a few submissions. The papers disguise subject matters equivalent to actual layer; MAC and routing; mobility in networks; self-organization, virtualization and localization; cloud, virtualization and prototypage; safeguard and fault tolerance in instant cellular networks.
Read Online or Download Ad Hoc Networks: 7th International Conference, AdHocHets 2015, San Remo, Italy, September 1-2, 2015. Proceedings PDF
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Additional resources for Ad Hoc Networks: 7th International Conference, AdHocHets 2015, San Remo, Italy, September 1-2, 2015. Proceedings
Thus, user’s optimal uplink transmission power per each occupied subcarrier is determined, instead of simply adopting the EBEP allocation or the waterfilling method to allocate users’ uplink transmission power (Section 4). An iterative, distributed and lowcomplexity algorithm is proposed to converge to a stable subcarriers and uplink transmission power allocation (Section 5). Finally, the performance of the proposed approach is evaluated in detail and its operational characteristics are illustrated through analytical numerical results (Section 6), while Section 7 concludes the paper.
This decrease was caused by the placement of terminals, and the fact that AODV is a reactive protocol. In our evaluations, terminals were distributed according to a 2 dimensional N (0, σ). That is, terminals were concentrated near the sink node. Here, a path for the sink node was generated according to the routing table, which was constructed by exchanging distance vectors with broadcasts in DSDV. Moreover, the topology near the sink node was constructed in a similar manner to a mesh network. Even if a node near the sink lost information it received from a node, it was possible to obtain that information from another neighboring node.
The goal of each user is to maximize his utility via selecting an appropriate number of subcarriers K i and a corresponding strategy of uplink transmission power Pi ,sij for each of his occupied subcarriers sij ∈ i ⊆ sub . Therefore, the joint subcarriers and uplink transmission power allocation problem can be formulated as a maximization problem of each user’s i, i ∈ N overall utility function. t. ∑P j =1 i ,sij N ≤ Pi Max ,i ∈ N , S = ∑ Ki i =1 where Pi = [ 0,Pi Max ] denotes the set of user’s i ∈ N feasible uplink transmission power, which is a compact and convex set with maximum and minimum constraints.