TY - GEN
T1 - Mobility-based Optimal Relay Node Selection for IoT-oriented SDWSN
AU - Poornima, M. R.
AU - Vimala, H. S.
AU - Shreyas, J.
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/4/12
Y1 - 2023/4/12
N2 - Mobile IoT is a collection of wireless moving nodes that function together to form a momentary network without centralized management or regular support services. Node moving at high mobility speed results in link failure and periodic topological variations in the network, often forcing nodes to restart the route discovery process. Existing multi-path routing that considers optimized hop count is the primary focus of the routing algorithm. Any connection interruption leads to packet loss, which increases delay and energy costs for retransmission. To mitigate these issues, we propose a mobility-based dynamic energy-efficient routing (DEER) through the link stability for mobile IoT nodes in software-defined wireless sensor networks (SDWSNs). The proposed DEER uses fuzzy logic to determine the link strength between nodes using an expected transmission count and path loss ratio. Then by assessing the residual energy of each node, the DEER system chooses relay nodes and decides on multipath routing while preserving link stability, reliability, and extended network lifetime.
AB - Mobile IoT is a collection of wireless moving nodes that function together to form a momentary network without centralized management or regular support services. Node moving at high mobility speed results in link failure and periodic topological variations in the network, often forcing nodes to restart the route discovery process. Existing multi-path routing that considers optimized hop count is the primary focus of the routing algorithm. Any connection interruption leads to packet loss, which increases delay and energy costs for retransmission. To mitigate these issues, we propose a mobility-based dynamic energy-efficient routing (DEER) through the link stability for mobile IoT nodes in software-defined wireless sensor networks (SDWSNs). The proposed DEER uses fuzzy logic to determine the link strength between nodes using an expected transmission count and path loss ratio. Then by assessing the residual energy of each node, the DEER system chooses relay nodes and decides on multipath routing while preserving link stability, reliability, and extended network lifetime.
UR - https://www.scopus.com/pages/publications/85163571463
UR - https://www.scopus.com/pages/publications/85163571463#tab=citedBy
U2 - 10.1145/3564746.3587026
DO - 10.1145/3564746.3587026
M3 - Conference contribution
AN - SCOPUS:85163571463
T3 - ACMSE 2023 - Proceedings of the 2023 ACM Southeast Conference
SP - 201
EP - 205
BT - ACMSE 2023 - Proceedings of the 2023 ACM Southeast Conference
PB - Association for Computing Machinery, Inc
T2 - 2023 ACM Southeast Conference, ACMSE 2023
Y2 - 12 April 2023 through 14 April 2023
ER -