Olfactory Apis Search Optimization Enabled Optimal Node Localization for Energy-Efficient Data Transmission in IoT Assisted Wireless Sensor Networks
Keywords:
Wireless sensor networks, Node localization, Cluster head, routing, base station.Abstract
Wireless Sensor Networks (WSNs) provides an efficient approach for remote monitoring and management of the system, especially in adverse environments. Such WSN networks are comprised of sensor nodes for sensing and transmitting the collected information to the Base Station (BS) for certain applications over the internet. Hence, the energy level of the sensor nodes is depleted with time during the data transmission, which affects the entire communication and the lifetime of the WSNs. Hence, the dead nodes are required to be localized for persistent communication as well as enhancing the lifetime of the network. Hence, the Olfactory Apis Search (OAS) optimization enabled optimal node localization is developed in the research that utilizes the information-sharing characteristics of apis, and olfactory sensing characteristics of both vespid and coleopteran for determining the location of the dead nodes that are required to be replaced with new nodes. The developed optimization determines the unknown location of the dead nodes with information on the exact location of the anchor nodes. Further, effective Cluster Head (CH) selection and routing are performed to attain efficient data transmission between the sensor nodes and the BS. The performance of the developed OAS optimization enabled node localization is measured in terms of RMSE as 0.573, RSSI -48.226 dBm at the 50th round for the simulation area 100x100m2, and RMSE as 0.587 and RSSI as -53.19dBm for the simulation area 200x200 m2.
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