Multi Improved Ant Colony Optimization (IACO) based cluster head selection and information gathering in Wireless Sensor Networks (WSNs)

  • Dr.S.Jayasankari et al.

Abstract

For collecting, storing and sharing the sensed data in many applications, it make use of Wireless Sensor networks (WSN) and this field has demand for sensor networks is agriculture for overseeing the field to maximize the productivity and quality of farming. For the purpose of observing agriculture, a context-aware process which depends on multiple agents was introduced in the recent work in which it deduce the soil irrigation according to the soil parameters. The sensor nodes starts to broadcast the information that is stored to the cluster heads through the Path Finding Agent (PFA). Cluster heads are the pool of information accepted by the sensor nodes that are present in the field prior to transmitting the information to the sink node through the Query Agent (QA). Improved Ant Colony Optimization (IACO) helps to choose the cluster heads to cover up sensor networks more capability for optimal selection of cluster head. The information that is stored is broadcast by the sensor nodes to the cluster heads through the Path Finding Agent (PFA). The information received by the sensor nodes that are present in the field is summed up by the Cluster heads prior to transmitting this information to the sink node through the Query Agent (QA). Experimental results confirm this proposed model assists to enhancing the performance with respect to precision, recall and accuracy.

Published
2019-12-21
How to Cite
et al., D. (2019). Multi Improved Ant Colony Optimization (IACO) based cluster head selection and information gathering in Wireless Sensor Networks (WSNs). International Journal of Advanced Science and Technology, 28(17), 326 - 337. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/2260