Inspired Energy Efficient Data Delivery Based on Redundant Data Elimination using Discrete Cuckoo Search Optimization
May Kamil Al-Azzawi, Juan Luo, Renfa Li · International Journal of Control and Automation · 2015
Data aggregation in wireless sensor network is the process of aggregating the data from multiple sensors to eliminate redundant transmissions. Data aggregation still suffers from some defects like network congestion or contention, sensor power consumption in transmission of redundant data packets due to spatio-time correlation of the neighbor sensors, and false data aggregation resulted from outlier data. To overcome these defects, we propose a data packet delivery approach from a reliable sensor to the cluster head when an event is occurred in the field of interest. We take advantage of cuckoo search (CS) algorithm as a nature-inspired metaheuristic algorithm to implement Single Node Selection (SNS) scenario for data packet delivery and we show the influence of data delivery mechanism of this scenario on the life time of the network. In Single Node Selection (SNS), cuckoo search optimization is used to find the sensor that is relatively close to the event to send a data packet holding the sensed raw data (without any modification) to the cluster head. Optimum data delivery route involves a single sensor that is relatively close to the event to send the recorded data. A comparison is made with respect to LEACH, E-LEACH protocols that show a superior advance of our approach over LEACH and E-LEACH protocols in energy consumption, network lifetime, and network throughput.