Minimizing energy consumption in mission-specific mobile sensor networks by placing sensors and base station in the best locations: Genetic algorithms approach
- Resource Type
- Conference
- Authors
- Ouchitachen, Hicham; Hair, Abdellatif; Idrissi, Najlae
- Source
- 2015 International Conference on Wireless Networks and Mobile Communications (WINCOM) Wireless Networks and Mobile Communications (WINCOM), 2015 International Conference on. :1-7 Oct, 2015
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Wireless sensor networks
Base stations
Relays
Genetic algorithms
Sociology
Statistics
Optimization
Wireless Sensor Networks
Node placement
Energy
Genetic Algorithms
Mission Cost
- Language
Motivated by recent developments in Wireless Sensor Neworks(WSNs), we present in this paper two new algorithms, namely Sensors Genetic Algorithm (SGA) and Base station Genetic Algorithm (BGA). We developed SGA and BGA in order to contribute to solve the energy constraint in a critical sensor network, where each sensor satesfies its oun missions depending on its locations. The first algorithm (SGA) aims at equilibrating the mission and communiation cost by placing each sensor in the best position relatively to the degre of mission satesfaction and the quality of communiation between all nodes. The second algorithm (BGA) locates the Base Station (BS) with respect of avalaible ressources in the network. The comparaison of our algorithms to other techniques displays that SGA and BGA are effiients in terms of convergence to the appropriate solutions of the complicated optimization problem posed in this case.