Improved energy efficiency in wireless sensor networks using clustering based data aggregation

Abstract

Wireless Sensor Network (WSN) is a collection of number of sensor nodes that are of self-configuring once deployed in a random manner across the network. Various energy efficient solutions are designed for the sensor network to increase the performance of the network by overcoming the constraint like low batter power and higher energy consumption. newlineClustering algorithms provides the effective solution that improves the load balancing and scalability of the network. This algorithm considers data transmission as its effective factor to improve the energy consumption. However, the most challenging problem is the draining of sensor battery power. Hence, various attempts are considered to improve the usage of sensor energy in the network within a specific group. newlineSeveral clustering solution involve aggregation and filtering of raw data prior transmission to the destination nodes. With increase redundancy in data samples, the transmission cost and network overload is increased. On other hand, the reduction in the transmission of packets tends to reduce the congestion. Thus the consumption of energy gets reduced in the network and it leads to improved energy efficiency. newlineThe aggregation techniques is recommended in this study, since the processing cost is significantly smaller in WSNs. With increasing sensor nodes in the WSN, the challenges lead to the network lifetime increase. Hence, the researchers proposed several ideas on data aggregation and that lead to improvement in the lifetime of the sensor networks using effective clustering algorithm. newline