An optimal cooperative relay selection strategy for delay aware image transmission in large scale multi-radio multi-channel multimedia wireless sensor network

• Published in: Journal of intelligent & fuzzy systems Vol. 46; no. 3; pp. 7283 - 7293
• Main Authors: Devulapalli, Praveen Kumar, Boppidi, Srikanth, Sake, Pothalaiah, Matta, Jagadeesh Chandra Prasad, Gopal, Dhanalakshmi, Maganti, Sushanth Babu
• Format: Journal Article
• Language: English
• Published: London Sage Publications Ltd 05.03.2024
• Subjects: Algorithms; Bit error rate; Channel capacity; Clusters; Delay; Energy consumption; Image quality; Image transmission; Interference; Multimedia; Network latency; Performance enhancement; Performance evaluation; Power consumption; Power management; Relay; Sensors; Traffic control; Wireless communications; Wireless networks; Wireless sensor networks
• ISSN: 1064-1246; 1875-8967
• DOI: 10.3233/JIFS-234312

High bit-error rates and high transmission rates are required for the Multimedia Wireless Sensor Networks (MWSN) to transmit high-quality pictures through smart devices. To fully utilize the advantages of the technology known as Multiple-Input Multiple-Output, MWSN heavily relies on cooperative communication. Large-scale wireless networks use multi-radio-multi-channel to improve performance by simultaneous broadcasts across symmetrical channels to reduce interference. Expanding cooperative communication in vast networks is subject to severe interference. And, as each node in the network is mobile, routing and transmission delay pose significant problems for cooperative multimedia wireless sensor networks. Mobility increases the MWSNs’ dynamic nature, which reflects in the overhead control traffic. To address above issues, a Cluster-based Delay Aware Cooperative Relay Selection (CDACRS) was proposed by employing mobility and distance metrics and channel assignment (CA) using dynamic Global Table (GT). To minimize the end-to-end transmission latency without compromising aggregate throughput, our approach chooses a relay-node depending on the mobility and the maximum available channel capacity. Further, to improve the end-to-end energy consumption, Power Aware Transmission (PAT) protocol is developed by calculating maximum transmission power required to meet target bit error rate (BER). The proposed method’s performance is evaluated against the Cluster-based Cooperative Multi-Hop Optimal Relay Selection (CCORS); energy efficient and quality aware multi-hop cooperative image transmission; and Energy Aware Cooperative Image Transmission (EACIT) algorithms and observed that our approach improves the transmission delay by 37.5% (approx.) and end-to-end energy consumption by 48.8%.