Routing protocol based ant colony optimization system for hybrid sensor and vehicular networks

• Published in: International journal of system assurance engineering and management Vol. 13; no. 6; pp. 2855 - 2864
• Main Authors: Sadou, Malika, Bouallouche-Medjkoune, Louiza
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.12.2022; Springer Nature B.V
• Subjects: Ant colony optimization; Engineering; Engineering Economics; Heuristic methods; Hybrid systems; Logistics; Marketing; Messages; Nodes; Organization; Original Article; Quality Control; Reliability; Safety and Risk; Vehicles; Ant colony optimization; Vehicular communication; Routing algorithms; Hybrid sensor and vehicular networks; Quality of service
• ISSN: 0975-6809; 0976-4348
• DOI: 10.1007/s13198-022-01751-w

This paper investigates the proposition of a novel reliable routing protocol for Hybrid Sensor and Vehicular Networks. In this solution, we apply the concept of ant colony optimization meta-heuristic to route alert messages from a source node (a sensor node that detects any emerged event along a road) to the sink. In our proposed approach, the sink is responsible for predicting the best route that leads to itself. Thus, once a sensor node detects any event, the packets will be conducted to the sink following a predefined optimal path already calculated by the sink. This mechanism allows the timely delivery of alert messages from the source node to the sink and incites sensor nodes to preserve their energy by minimizing their involvement in relay tasks. The simulation results show that our solution has the capability of finding an optimal and faster solution using fewer sensor nodes and possesses strong robustness.