Underwater wireless sensor networks (UWSNs) use acoustic waves to communicate in an underwater environment. Acoustic channels have various limitations such as low bandwidth, a higher end-to-end delay, and path loss at certain nodes. Considering the limitations of UWSNs, energy efficient communication and reliability of UWSNs have become an inevitable research area. The current research interests are to operate sensors for a longer time. The currently investigated research area towards efficient communication has various challenges, like flooding, multiple copies creation path loss and low network life time. Hence, it is different from previous work which solved certain challenges by measuring the depth, residual energy, and assigning hop-IDs to nodes. This study has proposed a novel scheme called radius-based courier node (RMCN) routing. RMCN uses radius-based architecture in combination with a cost function, track-ID, residual energy, and depth to forward data packets. The RMCN is specifically designed for long-term monitoring with higher energy efficiency and packet delivery ratio. The purpose of RMCN is to facilitate a network for longer periods in risky areas. The proposed routing scheme has been compared with depth-based routing and energy-efficient multipath grid-based geographic routing with respect to alive nodes left, end to end delay, delivery ratio and energy consumption.

Autonomous driving technology offers a promising solution to reduce road accidents, traffic congestion and fuel consumption. The management of vehicular networks is challenging as it demands mobility, location awareness, high reliability and low latency of data traffic. In this paper, we propose a novel communication architecture for vehicular network with 5G Mobile Networks and SDN technologies to support multiple core networks for autonomous vehicles and to tackle the potential challenges raised by autonomous driving vehicles. Data requirements are evaluated for vehicular networks with respect to number of lanes and cluster size, to efficiently use frequency and bandwidth. Network latency requirements are analysed, which are mandatory constraints for all applications where real time end-to-end communication is necessary. A test environment is also formulated to evaluate improvement in vehicular network using SDN-based approach over traditional core networks.

This paper is concerned with designing and numerically implementing a V2X (Vehicle-to-Vehicle and Vehicle-to-Infrastructure) control system architecture for a platoon of autonomous vehicles. The V2X control architecture integrates the well-known Intelligent Driver Model (IDM) for a platoon of Autonomous Driving Vehicles (ADVs) with Vehicle-to-Infrastructure (V2I) Communication. The main aim is to address practical implementation issues of such a system as well as the safety and security concerns for traffic environments. To this end, we first investigated a channel estimation model for V2I communication. We employed the IEEE 802.11p vehicular standard and calculated path loss, Packet Error Rate (PER), Signal-to-Noise Ratio (SNR), and throughput between transmitter and receiver end. Next, we carried out several case studies to evaluate the performance of the proposed control system with respect to its response to: (i) the communication infrastructure; (ii) its sensitivity to an emergency, inter-vehicular gap, and significant perturbation; and (iii) its performance under the loss of communication and changing driving environment. Simulation results show the effectiveness of the proposed control model. The model is collision-free for an infinite length of platoon string on a single lane road-driving environment. It also shows that it can work during a lack of communication, where the platoon vehicles can make their decision with the help of their own sensors. V2X Enabled Intelligent Driver Model (VX-IDM) performance is assessed and compared with the state-of-the-art models considering standard parameter settings and metrics.

No abstract