Performance evaluation of Distance based Angular Clustering Algorithm (DACA) using data aggregation for heterogeneous WSN
Navjot Kumar, Surinder Pal Kaur · 2016 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC) · 2016
Wireless sensor network (WSN) is collection of homogeneous or heterogeneous sensor nodes used to sense the data from physical environments and pass it to sink node. Data collection or sensing environment without any clustering mechanism is little hard which causes the high processing power, high battery consumption, maximize redundant bits etc. To avoid mentioned overheads, Distance based Angular Clustering Algorithm (DACA) with data aggregation techniques is used and to make sure the improvement, computation of various parameters are processed i.e. delay, throughput, network load, number of packets lost, PDR, jitter and packet efficiency. Our simulation results shows improved and energy efficient WSN.