Optimizing energy efficiency in wireless sensor networks: dynamic routing with capuchin search algorithm

Optimizing energy efficiency in wireless sensor networks: dynamic routing with capuchin search algorithm

연구 분야: Networking

학회: Multimedia Tools and Applications

The Internet of Things (IoT) has significantly advanced wireless communication and machine intelligence, leading to diverse applications. However, the continuous evolution of smartphones and IoT devices presents challenges for wireless sensor networks (WSNs), impacting Quality of Service (QoS) requirements. This paper proposes a solution in the form of the Capuchin Search Optimization Routing Protocol (CSORP), a multipath protocol based on the Capuchin Search Optimization (CSO) algorithm. The aim is to address QoS limitations, including end-to-end delay, power consumption, and packet transmission delay, caused by the increasing influx of IoT devices in wireless networks. The proposed CSORP is designed for WSN-based IoT devices experiencing high traffic loads and unfair network flow. Evaluation using network simulator-3 and a comparison with existing routing protocols (AODV, DSDV, I-DSDV, and DSR) demonstrate the benefits of CSORP, including an 88% packet delivery ratio, a minimum distribution speed of 0.5 m/s, a latency of 35 ms (compared to I-DSDV's 79 ms), mobility speed of three packets per second with less packet loss (0.7), and a high routing load parameter of 92%, indicating potential energy savings. In conclusion, CSORP offers advantages such as energy efficiency, low latency, high packet delivery ratio, ample bandwidth, and reduced normalization demand, making it a promising solution for improving WSN performance and QoS metrics in IoT scenarios.