Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
Hi-index | 0.00 |
This paper proposes a Multi-Objective Evolutive Algorithm using the methodology Strength Pareto Evolutionary Algorithms (SPEA) to compare it with the mathematical model of a WSN network with a topology of multiple areas of sensing and a single destination "sink" (M:1), optimizing energy functions (min) and shortest path (min). We compare the results of SPEA compared to mathematical model by the main metric for obtaining the performance of our algorithm.