Green Computing in Software Defined Social Internet of Vehicles

Abstract

Social Internet of Vehicles (SIoV) is an evolving vehicular networking framework integrating the next generation smart devices with vehicular communications. Green computing and communication under disruptive vehicular environment is one of the challenging tasks for enabling SIoV. In this context, green traffic data dissemination in SIoV environments is modelled as an NP-hard problem focusing on heterogeneous traffic data, transmission distance from next generation smart devices and probabilistic delay in transmissions due to disruptive vehicular environment. An adopted meta-heuristic solution namely Two-Way Particle Swarm Optimization (TWPSO) is developed for the green traffic data dissemination problem in SIoV considering software defined vehicular network architecture. Extensive simulation experiments were performed to assess the performance of TWPSO as compared to the state-of-the-art techniques. The critical analysis of the comparative results attest the green computing oriented benefits of TWPSO under real SIoV environments.

A hybrid Meta-heuristic solution for Energy-Efficient routing in Software-Defined Wireless Sensor Network 

“…while this work focuses on network layer energy efficiency in multi-task SD-WSN. In previous research various fuzzy based [31], heuristics and metaheuristic approaches e.g., PSO [1], [11], [4], GWO [13], DEA [32] have been applied in both SDN and Non-SDN based WSN network to achieve energy efficiency. However, these approaches have some limitations, the technique used suffers from exploration vs exploitation problem, may trap in local optima.…”

“…An emergence of Internet of Things (IoT) demand in diverse applications e.g., intelligent transportation system, defense, healthcare, disaster relief, agriculture and other smart systems, Wireless Sensor Networks (WSNs) are in demand and being dense in the structure, [1][2][3][4][5]. In current scenarios, WSN is the collection of tiny sensor nodes, limited in battery, memory, and processing capabilities.…”

Quantum Learning-Enabled Green Communication for Next-Generation Wireless Systems

“…CONNECTED environment is growing significantly as next generation wireless systems around us [1]. The growing network of internet connected next generation wireless systems is termed Internet of Things (IoT) [2].…”

A Novel GBSM for Non-Stationary V2V Channels Allowing 3D Velocity Variations

“…In recent years, V2V communication systems have shown key potentiality with the help of the fifth-generation (5G) and beyond 5G (B5G), along with the future sixth-generation (6G) technologies [ 3 , 4 ]. Because of the traffic efficiency and security-relevant cases, V2V communication helps to improve the safety of lives and resources by sharing information in real time under sophisticated transportation [ 5 , 6 , 7 , 8 ]. However, the ability and credibility of V2V communications are impacted by crowded space, vehicles, movements of scatterers, etc.…”