@article{Keswani_Bhaskar_2018, title={FLOWER POLLINATION AND GENETIC ALGORITHM BASED OPTIMIZATION FOR NODE DEPLOYMENT IN WIRELESS SENSOR NETWORKS}, volume={5}, url={https://www.granthaalayahpublication.org/ijetmr-ojms/ijetmr/article/view/IJETMR18-CINSP-37}, DOI={10.29121/ijetmr.v5.i2.2018.658}, abstractNote={<p><em><strong>Wireless sensor network (WSN) most popular area of research where lots of work done in this </strong></em><em><strong>field. Energy efficiency is one of the most focusing areas because life time of network is most </strong></em><em><strong>common issue. In the WSN, the node placement is very essential part for the proper </strong></em><em><strong>communication between the sensor nodes and base station (BS). For better communication </strong></em><em><strong>nodes should be aware about their own or neighbor node’s location. Better optimization of </strong></em><em><strong>resources and performance improvement are the main concern for the WSN. Optimal </strong></em><em><strong>techniques should be utilized to place the nodes at the best possible locations for achieving the </strong></em><em><strong>desired goal. For node placement, flower pollination optimization and genetic algorithm are </strong></em><em><strong>useful to generate better result. BS is responsible for the communication of nodes with each </strong></em><em><strong>other and it should be reachable to nodes. For this Region of Interest (RoI) is helpful to </strong></em><em><strong>choose the best location. Placement of BS in the middle is suitable place for the static nodes </strong></em><em><strong>deployment and there should be other strategy for the dynamic environment. Nodes should be </strong></em><em><strong>connected to each other for the transmission of data from the source to BS properly. From the </strong></em><em><strong>MATLAB simulation, it has been shown that the proposed methodology improves the network </strong></em><em><strong>performance in terms of dead nodes, energy remaining and various packets sent to BS.</strong> </em></p>}, number={2}, journal={International Journal of Engineering Technologies and Management Research}, author={Keswani, Kapil and Bhaskar, Dr. Anand}, year={2018}, month={Feb.}, pages={281–293} }