Vehicular Networks Dynamic Grouping and Re-Orchestration Scenarios

Abstract

The topological structure in vehicular communication networks presents challenges for sustaining network connectivity on the road. Highway dynamics, for example, encourage the need for an adaptive and flexible structure to handle the rapid events of vehicles joining and leaving the road. Such demand aligns with the advancement made in software-defined networks and related dynamic network re-orchestration. This paper discusses the development of a virtual model that represents the operation of an autonomous vehicular network. It also investigates the ability to re-orchestrate the topology through software definition while running the various operational phases. Network self-formation, network expansion, retraction via vehicular members joining and leaving, and network self-healing when a topological rupture occurs as a result of a key member leaving the network are the key grouping phases. The communication approach is analyzed based on the status of network members and their ability to assume the various network roles. The concept is tested using both a Contiki–Cooja network simulator and a MATLAB analytical modeling tool to reflect the operation and performance of the grouping approach under various road scenarios. The outcome of the analysis reflects the ability of the group to be formulated within a measured latency considering the various network parameters such as communication message rate. The approach offers tools for managing the dynamic connectivity of vehicular groups and may also be extended to assume the function of an on-road network digital twin during the lifetime of a given group.

A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges

“…Since some of the topics that have been discussed are related to clustering methods, we need to discuss how offering a backup node within the cluster can ensure less latency and further reliability. In [133,134], dynamic self-healing vehicle network organization methods considering the deviation of key network connection components were proposed. The design ideas of these methods can be applied to the A2S integrated MIoT with mobile nodes.…”

A Novel SDWSN-Based Testbed for IoT Smart Applications

“…In addition, the RSSI data are collected at different sampling rates with various number of node scenarios to test the delivery of packets and determine if there is any packet loss. This is mainly to evaluate the capacity of the coordinator (cluster head) node, tested virtually [8,9]. The modified values of the RF transmission power of the sensor nodes based on designed indoor and outdoor scenarios can reflect the mobility aspect in the network.…”

“…In addition, the RSSI data are collected at different sampling rates with various number of node scenarios to test the delivery of packets and determine if there is any packet loss. This is mainly to evaluate the capacity of the coordinator (cluster head) node, tested virtually [8,9].…”

“…Herein, cloud-based virtualization is used to develop and provide specified functional configuration parameters to physical nodes. As a result, the cloud can assist with performance analysis via the virtual unit, where possible reorchestration of network behavior can be deployed and tested prior to real-world implementation, paving the way for the cyber-physical system [7][8][9].…”

“…As the gateway node is the group head, the other router nodes need to refe update the gateway with its new connections. Message (9), MR(n)-G: Update, is connectivity update. The physical WSN testbed is designed to showcase various use cases that can validate the virtual testing available in our earlier works.…”