RT Journal Article
T1 Energy-Efficient Packet Forwarding Scheme Based on Fuzzy Decision-Making in Underwater Sensor Networks
A1 Pabani, Jitander Kumar
A1 Luque-Nieto, Miguel Ángel
A1 Hyder, Waheeduddin
A1 Otero-Roth, Pablo
K1 Redes de sensores
AB Underwater Wireless Sensor Networks (UWSNs) are subjected to a multitude of real-life challenges. Maintaining adequate power consumption is one of the critical ones, for obvious reasons. This includes proper energy consumption due to nodes close to and far from the sink node (gateway), which affect the overall energy efficiency of the system. These wireless sensors gather and route the data to the onshore base station through the gateway at the sea surface. However, finding an optimum and efficient path from the source node to the gateway is a challenging task. The common reasons for the loss of energy in existing routing protocols for underwater are (1) a node shut down due to battery drainage, (2) packet loss or packet collision which causes re-transmission and hence affects the performance of the system, and (3) inappropriate selection of sensor node for forwarding data. To address these issues, an energy efficient packet forwarding scheme using fuzzy logic is proposed in this work. The proposed protocol uses three metrics: number of hops to reach the gateway node, number of neighbors (in the transmission range of a node) and the distance (or its equivalent received signal strength indicator, RSSI) in a 3D UWSN architecture. In addition, the performance of the system is also tested with adaptive and non-adaptive transmission ranges and scalable number of nodes to see the impact on energy consumption and number of hops. Simulation results show that the proposed protocol performs better than other existing techniques or in terms of parameters used in this scheme.
PB MDPI
YR 2021
FD 2021-06-25
LK https://hdl.handle.net/10630/22684
UL https://hdl.handle.net/10630/22684
LA eng
NO Pabani, J.K.; Luque-Nieto, M.-Á.; Hyder, W.; Otero, P. Energy-Efficient Packet Forwarding Scheme Based on Fuzzy Decision-Making in Underwater Sensor Networks. Sensors 2021, 21, 4368, p.1-18. ISSN: 1424-8220. https://doi.org/10.3390/s21134368
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026