Journal of Theoretical and Applied Information Technology
Smart environments represent one of the key future development steps in building, utilities, industrial, home, shipboard and transportation systems automation. The recent popularity of applications based on Wireless Sensor Networks (WSNs) provides a strong motivation for pursuing research in different dimension of WSN. Node placement is an important task in wireless sensor network and is a multi-objective combinatorial problem. A multi-objective ACO (Ant Colony Optimization) algorithm based framework has been proposed in this paper. The framework optimizes the operational modes of the sensor nodes along with clustering schemes and transmission signal strengths.