Optimization algorithms for energy consumption in wireless sensor networks

Developments in wireless communications and electronics have made designing low-cost sensor networks possible. The sensor networks have many application areas such as health, military, home, agriculture, environmental. Because each sensor has to be low-cost, they have very limited battery and lifetime of the network depends heavily on saving energy. One way of saving energy is designing appropriate routing protocols. In this thesis, we propose some protocol that save more energy and increase the network lifetime comparing to the classical protocols especially in networks with a large number of sensors.The objective of this proposal is to save the nodes energy using optimization approach (Genetic Algorithm and/or Memetic Algorithm and/ or Particle Swarm Algorithm). The first aim of this thesis is to decrease the total energy consumption of the wireless sensor network. The second aim is to raise the reliability of the protocol along with improving the network latency as compared to earlier cluster-based protocols. The network area will be divided to several regions for parametric study. The proposed work will be compared with LEACH (Low Energy Adaptive Clustering Hierarchy).