Abstract
Due to recent advancements in smart city traffic and transport monitoring industry 4.0 applications. Flying Ad-Hoc Networks (FANETs) ability to cover geographically large areas, makes it a suitable technology to address the challenges faced during remote areas traffic monitoring. The implementation of drone based FANETs have several advantages in remote traffic monitoring, including free air-to-air drone assisted communication zone and smart surveillance and security. The drone-based FANETs can be deployed within minutes without requiring physical infrastructure, making it suitable for mission critical applications in several areas of interests. Here a drone-based FANETs application for smart city remote traffic monitoring is presented while addressing several challenges including coverage of larger geographical area and data communication links between FANETs nodes. A FANET-inspired enhanced ACO algorithm that easily coped with drone assisted technology of FANETs is proposed to cover the large areas. Simulation results are presented to compare the proposed technique against different network lifetime and number of received packets. The presented results show that the proposed technique perform better compared to other state-of-the-art techniques.
Highlights
The recent decade has seen tremendous advancements towards industry 4.0 revolutionary smart city technologies
Some other bio-inspired scenario prompts the new ides of finding the smart solutions in smart city [30] and its collaboration in wireless sensor network, vehicular ad hoc network for different kind of problems is discussed in [31, 32] with its hybrid form [33]. Inspired from it we exploited the enhanced Ant Colony Optimization (eACO) in Flying Ad hoc NETworks (FANETs) where the drones behave like ants and uses the pheromone values to handle the problem of interest
We compare the performance of the proposed scheme eACO compared with the Improved Ant Colony Optimization Algorithm (IACO), ACMPACO, and with the conventional scheme Ant Colony Optimization (ACO) using the NS-2 simulator
Summary
The recent decade has seen tremendous advancements towards industry 4.0 revolutionary smart city technologies. Drone-based Internet of Things (IoTs) plays a vital role to transform urban public infrastructure and services including governance and transportation It provides on-the-fly sensor-based data collection without requiring a physical infrastructure to cover larger geographical areas to support several applications that includes but not limited to disaster management, smart agriculture, smart cities, smart transportation, smart mobility, smart freight, smart waste management, smart housing, smart governance, smart surveillance and security[1,2,3]. The idea of RTAs monitoring using the drone based FANETs has gained a great attention in both the academia and the industry This is considered as the most efficient solution to overcome this serious smart urban traffic monitoring challenges as illustrated in the Figure 1.
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