Authors: Ramesh Keerthika, Saveetha Engineering college L Logeshwari, Saveetha Engineering college M Vanitha, Saveetha Engineering college
The emerging growth of sensors and integrated device plays an optimum role in recent innovations towards
natural disaster management system. Keeping an underground wireless sensor network (UGWSN). Similar to wireless
sensor network (WSN) the underground sensor network is created with numerous sensor devices integrated with control
unit, communication unit etc. the sensors are placed inside the earthy surface to record and reflect on natural changes inside
the ground surface. Installation of sensor nodes in the slopy area of hill stations undergoes various challenges to make the
communication in spite of rigid surfaces, soil texture hard stones etc. On the other hand, natural consequences such as
heavy rainfall landslides impact the performance of the sensor opted in the surface of the earth. To address these
Constraints, various research frameworks are considered. The goal of proposed model is to make efficient communication
between wireless sensor network (WSN) placed in the underground area. The proposed system measures the network
performance through sensor communication flow without any interrupt, calculates the dead nodes, energy transmission per
iteration and optimize the network during loss of signal. Neural boosters are placed at the pathways to detect and reroute
the network. The bio-inspired behaviour of chimpanzee based behavioural optimization algorithm act upon the strong nodes
during the droppage of energy level and adopt the network performance without making disconnection. The proposed
system achieved 99.86% packet delivery ratio (PDR) on testing with 100 dynamic nodes.
Keywords: Wireless sensor networks,Neural boosters,sensor node,artificial intelligence,,application specific integrated circuits
Published in: IEEE Transactions on Antennas and Propagation( Volume: 71, Issue: 4, April 2023)
Page(s): 2908 - 2921
Date of Publication: 2908 - 2921
DOI: 10.1109/TAP.2023.3240032
Publisher: UNITED SOCIETIES OF SCIENCE