TY - GEN
T1 - Preemptive Hole Avoidance Technique for Wireless Sensor Network in Multiple Hole Scenario
AU - Yudistira, Bagus Gede Krishna
AU - Shiddiqi, Ary Mazharuddin
AU - Anggoro, Radityo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Wireless Sensor Networks (WSNs) consist of sensor nodes with limited power capacity, primarily used for environmental monitoring. As such, WSN holes can occur when data transmission fails to reach the destination due to node failures in a particular area. This research aims to mitigate network holes in WSNs by measuring and identifying forbidden zones and utilizing this information to establish alternate routes, thereby enhancing the overall reliability of the network. By grouping living and dead nodes, forbidden zones are identified, representing the living nodes closest to the source of the dead node. These forbidden zones indicate areas where the message cannot pass through. Multiple layers of forbidden zones are formed to determine the proximity of nodes to the network hole, effectively preventing data packages from approaching these restricted areas. We enhance the network's reliability by preventing messages from being sent through network holes. We found that informing the network about the position of the network hole enables the formation of new routes toward the destination. The network's reliability can be increased by avoiding the forbidden areas, ensuring that data transmission reaches the intended destination. Improving network reliability would lower the risks of failure when transporting packages from source to destination, which is critical in a case like a natural disaster. It would also prevent a lot of casualties due to early detection in the network and people will be able to evacuate more quickly.
AB - Wireless Sensor Networks (WSNs) consist of sensor nodes with limited power capacity, primarily used for environmental monitoring. As such, WSN holes can occur when data transmission fails to reach the destination due to node failures in a particular area. This research aims to mitigate network holes in WSNs by measuring and identifying forbidden zones and utilizing this information to establish alternate routes, thereby enhancing the overall reliability of the network. By grouping living and dead nodes, forbidden zones are identified, representing the living nodes closest to the source of the dead node. These forbidden zones indicate areas where the message cannot pass through. Multiple layers of forbidden zones are formed to determine the proximity of nodes to the network hole, effectively preventing data packages from approaching these restricted areas. We enhance the network's reliability by preventing messages from being sent through network holes. We found that informing the network about the position of the network hole enables the formation of new routes toward the destination. The network's reliability can be increased by avoiding the forbidden areas, ensuring that data transmission reaches the intended destination. Improving network reliability would lower the risks of failure when transporting packages from source to destination, which is critical in a case like a natural disaster. It would also prevent a lot of casualties due to early detection in the network and people will be able to evacuate more quickly.
KW - Hole Coverage
KW - Hole Detection
KW - Network Hole
KW - Restricted Area
KW - Wireless Sensor Network
UR - http://www.scopus.com/inward/record.url?scp=85180361951&partnerID=8YFLogxK
U2 - 10.1109/ICTS58770.2023.10330840
DO - 10.1109/ICTS58770.2023.10330840
M3 - Conference contribution
AN - SCOPUS:85180361951
T3 - 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023
SP - 302
EP - 306
BT - 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Information and Communication Technology and System, ICTS 2023
Y2 - 4 October 2023 through 5 October 2023
ER -