Ant Colony Algorithmic Program for Information Aggregation in Wireless Detector Network

In this paper knowledge aggregation is a necessary paradigm for energy economical routing in energy constraint wireless sensing element networks. The complexness of optimum knowledge aggregation is NP exhausting. Hymenopterans insect colony system, a population-based algorithmic program, provides natural and intrinsic approach of exploration of search area in improvement settings in crucial optimum knowledge aggregation. It shows improvement in energy potency depends on variety of supply nodes in sensing element network that is forty fifth energy potency exploitation optimum aggregation compared to approximate aggregation schemes in moderate variety of supply The main aim of the proposed model is to improve energy efficiency, reliability and reduced time required by use of Ant colony algorithm method.