Reduction of Power using new ACO (Ant Colony Optimization) in Wireless Sensor Network
Pages : 322-326
Wireless Sensor Networks is one of the most researching topic and rising area now days. Wireless sensor network (WSN) technology has provided the availability of small and low-cost sensor nodes with capability of sensing various types of physical and environmental conditions, data processing, and wireless communication. WSN have become popular due to its wide range applications. Power optimization is the main problem constraint in WSN and this limitation combined with a typical deployment of large number of nodes has added many challenges to the design and management of wireless sensor networks. The energy of battery is limited in Wireless sensor Networks. This paper propose an energy efficient routing algorithm inspired from nature scheme, its implementation and validations are also described in this paper. The new ACO based routing algorithm is used to find the minimum route of nodes in wireless sensor networking the basis of pheromone updating. The simulations results show that our method boasts undoubtedly a number of attractive features, including power consumption, throughput, and latency performance have been improved.
Keywords: Power Consumption, nACO (new Ant colony optimization), Wireless Sensor Network, Pheromones.
Article published in International Journal of Current Engineering and Technology, Vol.3,No.2 (June- 2013)