Jul 28, 2016 · Our approach of increasing the lifetimes of WSNs by using algorithms that employ hybrid evolutionary programming is shown in terms of disjoint ...
A redundancy removal operator that forces the evolution process to find a solution without redundancy is introduced and it is shown that the proposed method ...
Evolutionary programming is a very powerful algorithm that uses mutation as the primary operator for evolution. Hence, mutation defines the quality and time ...
Abrams, Z., Goel, A., Plotkin, S.: Set k-cover algorithms for energy efficient monitoring in wireless sensor networks. In: Proceedings of the 3rd ...
Apr 15, 2020 · This paper uses five evolutionary computing (EC) algorithms to develop the MWSN lifetime optimization model. Numerical simulations are performed.
Maximization of WSN Life Using Hybrid Evolutionary Programming. P. Nagarathna; R. Manjula. OriginalPaper 28 July 2016 Pages: 246 - 256. For authors. Submission ...
A novel approach is proposed in this paper that makes use a hybrid combination of simulated annealing and genetic algorithms calculate the energy efficient ...
Missing: Evolutionary Programming.
This paper considers the problem of optimal relay node placement for maximizing the network lifetime of wireless sensor networks in three-dimensional terrains.
Jul 12, 2014 · Scheduling the operating mode of nodes is an effective way to maximize the lifetime of wireless sensor networks (WSN). For a WSN with ...
We propose MFRSEA, a multifactorial evolutionary algorithm utilizing a network random key representation, a constraint-aware fitness function, and a novel ...
Missing: Programming. | Show results with:Programming.