Data Aggregation in Clustered Wireless Sensor Networks with Compressive Sensing and Mobile Sink-A Review

Continuous monitoring applications in real time scenario is in need of Wireless Sensor Networks (WSN) which comprises wide range of sensor nodes. The sensing, processing and communication capabilities of sensor nodes are limited due to its limited operational battery power. Data aggregation plays a major role in real time sensor network applications, in which the collected data from sensor nodes would be enormous. Transmitting the aggregated data as such would consume more energy, which leads to reduction in network life time. Hence, energy efficient data gathering technique is proposed by applying compressive sensing to the network for aggregating and sending the data to the sink node. Also, the clustered architecture would prolong the lifetime of networks. In this review article, different data aggregation techniques over WSN is presented under different category which includes the network architecture, compressive sensing techniques, nature of sink etc. Also, the data aggregation methodology is proposed over clustered architecture with compressive sensing and mobile sink to prolong the life time of sensor network.