Dragonfly Optimization-Based Cooperative Routing with Successive Interference Cancellation for Energy Efficiency in Wireless Sensor Networks

Abstract

Wireless ad-hoc networks play a vital role in mission-critical applications such as military surveillance, healthcare monitoring, and industrial automation, where network longevity and reliability are essential. This paper proposes a novel cooperative routing framework designed to enhance the lifetime of wireless ad-hoc networks by efficiently utilizing the Successive Interference Cancellation (SIC) technique and a cooperative relay-based approach. The proposed method combines Hop Count Routing (HCR) with Dragonfly topology coordination, enabling dynamic route selection based on node deviation, residual energy, and relative distance to the sink node. By incorporating SIC at relay nodes, the network efficiently handles multiple overlapping transmissions, improving throughput and minimizing packet loss. The cooperative nature of routing allows nodes to jointly forward data, ensuring load balancing and reducing energy depletion at critical nodes. Sensor nodes are deployed to sense environmental parameters such as temperature, pressure, fire, and entity detection, and the collected data is relayed using opportunistic and cooperative strategies to the sink node. Simulation results demonstrate significant improvements in network lifetime, energy efficiency, and data delivery reliability compared to traditional routing techniques.