作者: Patricia Ruiz , Bernabé Dorronsoro , El-Ghazali Talbi , Pascal Bouvry
DOI: 10.1016/J.ASOC.2015.04.003
关键词: Computer science 、 Efficient energy use 、 Multi-objective optimization 、 Mobile ad hoc network 、 Evolutionary algorithm 、 Robust optimization 、 Distributed computing 、 Communications protocol 、 Robustness (computer science)
摘要: Graphical abstractAEDB is an advanced adaptive protocol for information dissemination in mobile ad hoc networks MANETs. It based on the Distance Based broadcasting protocol, and it acts differently according to local minimize energy network use, while maximizing coverage of process. As most existing communication protocols, AEDB relies different thresholds adapting its behavior environment. We propose this work look configurations that induce a stable performance by automatically fine tuning these thanks use cooperative coevolutionary multi-objective evolutionary algorithms. Finding robust solutions problem important because MANETs have highly unpredictable dynamic topology, features strong influence protocol. Consequently, show good under any circumstances are required. In work, we define fitness functions taken into account metrics better guiding algorithm towards more solutions. They are: median, constrained, worst coverage, hypervolume. Results show, two worst-case approaches perform better, not only case robustness but also terms accuracy reported large set networks. Display Omitted The Adaptive Enhanced Broadcasting Protocol, hereinafter, (MANETs). measure