Aco based wireless sensor network routing for energy saving
Sonal Sharma, Rajendra Singh Kushwah · 2017
Wireless Sensor network (WSN) is one of the most attractive fields for researchers. This paper studies about optimization techniques such as Weighted Compressive Data Aggregation (WCDA), Cluster-based Weighted Compressive Data Aggregation (CWCDA) & Ant Colony Optimization (ACO). WCDA & CWCDA are analyzed and discussed. WCDA & CWCDA algorithm is used for reducing energy consumption in WSN model. The simulation results of WCDA & CWCDA algorithms are shown in this paper in terms of sum of energy, percentage of dead nodes and packets send to base station nodes. Issues of WCDA & CWCDA algorithms are discussed and a required solution is proposed. Final simulation results of WCDA & CWCDA shows consumption of energy is minimized as compared to other approaches.