Optimizing Energy Efficiency in Opportunistic Networks: A Heuristic Approach to Adaptive Cluster-Based Routing Protocol

• Published in: Information (Basel) Vol. 15; no. 5; p. 283
• Main Authors: Sharifi Sani, Meisam, Iranmanesh, Saeid, Salarian, Hamidreza, Tubbal, Faisel, Raad, Raad
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2024
• Subjects: adaptive clustering; Algorithms; Analysis; Clustering; Clusters; Communication; Computer network protocols; Connectivity; Data transmission; Disaster management; Efficiency; Energy consumption; Energy efficiency; Fuzzy logic; Heuristic; heuristic function; Heuristic methods; Military communications; Network topologies; Networks; Nodes; OppNet (Opportunistic Network); Optimization; Protocol; Quality of service; routing protocols; Topology; Traffic; Vehicles
• ISSN: 2078-2489; 2078-2489
• DOI: 10.3390/info15050283

Opportunistic Networks (OppNets) are characterized by intermittently connected nodes with fluctuating performance. Their dynamic topology, caused by node movement, activation, and deactivation, often relies on controlled flooding for routing, leading to significant resource consumption and network congestion. To address this challenge, we propose the Adaptive Clustering-based Routing Protocol (ACRP). This ACRP protocol uses the common member-based adaptive dynamic clustering approach to produce optimal clusters, and the OppNet is converted into a TCP/IP network. This protocol adaptively creates dynamic clusters in order to facilitate the routing by converting the network from a disjointed to a connected network. This strategy creates a persistent connection between nodes, resulting in more effective routing and enhanced network performance. It should be noted that ACRP is scalable and applicable to a variety of applications and scenarios, including smart cities, disaster management, military networks, and distant places with inadequate infrastructure. Simulation findings demonstrate that the ACRP protocol outperforms alternative clustering approaches such as kRop, QoS-OLSR, LBC, and CBVRP. The analysis of the ACRP approach reveals that it can boost packet delivery by 28% and improve average end-to-end, throughput, hop count, and reachability metrics by 42%, 45%, 44%, and 80%, respectively.