Analytical Survey on Ant and Fuzzy Clustering Based Data aggregation Techniques in Wireless Sensor Network
Soumyak Chandra, K. Alagarsamy · 2014
Wireless Sensor Networks (WSNs) plays a vital role in different structured applications such as health scrutinizing, ecological observing in industries, farms, colonized areas and so on. Wireless sensor networks (WSN) engage numerous sensor nodes for data transmission with inadequate power. Due to lower cost property of wireless sensors, the degree of usability is also large in vast applications. Sensor networks are group of sensor nodes which forward sensed data to base station responsively. As sensor nodes are supported by battery, a proper utilization of energy is crucial to use networks for prolong lifetime. Hence, the challenge lies in reduce the sensor network traffic, collision found inside the network, and reduce degree of data that need to send to base station. The main objective of data aggregation algorithms is to collect and aggregate data in a proficient way so that network lifetime is enhanced. Most preferred manner to extend lifetime, reduce time and cost during data transmission enhances the WSN. One such technique is data aggregation, a more interesting approach for data collecting in shared environment and active access through wireless connectivity. The issue in data Aggregation is about the avoidance of several difficulties in terms of resource utilization, energy consumption, network lifetime, time utilized and cost required. The main problem in sensor network faces link failures and node collapses causing system failures intentionally. The principle objective of ant and fuzzy clustering based data aggregation research is not just to point out the fact about network risks keep on rising every day, but rather to defeat problems arising, just as any other system property. Extended Network lifetime should be tackled during data transmission with minimum cost and time through clustering techniques based data aggregation. This survey planned to concentrate on various data aggregation based clustering techniques in WSN, more specifically on ant and fuzzy clustering as a system property. A parametric comparison of these data aggregation techniques is also tabulated along with their advantages and issues.