Dynamic Optimized Multi-metric Data Transmission over ITS

Intelligence Transport System (ITS) is a wirelessly connected, self-configurable structureless network with multiple sensor hosts. Here, all the hosts in the network follow centralized authority present at all the hosts in the network, which are moving independently with available mobility. Sensor networks have various random features, such as unreliability in wireless connections between multiple hosts and the potential to change the network’s topology at any time. For effectively solving the metrics mentioned above, a variety of algorithms have been developed. However, challenges like intermittent connectivity, heterogeneous vehicle management, energy consumption, and support of network intelligence remain unanswered. To support random data transference, energy consumption, and mobility management issue in intelligent transport networks, “A New Optimal Searchable Multi-metric Routing (NOSMR)” is proposed. This approach controls mobility from a new perspective to manage load maintenance of each host in intelligence sensor networks. Power-aware advanced routing scenarios are introduced for efficient connection between wireless hosts and to manage efficient mobility in ad hoc networks. Extensive simulations are done using NS3 to evaluate the performance of the proposed approach. The performance metrics used to analyze the proposed approach’s efficiency are throughput, time, and end-to-end delay. The proposed study is compared with state-of-the-art studies in the literature.