scholarly journals Unmanned Vehicles’ Placement Optimisation for Internet of Things and Internet of Unmanned Vehicles

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 6984
Author(s):  
Ana-Maria Drăgulinescu ◽  
Simona Halunga ◽  
Ciprian Zamfirescu
Keyword(s):  
Internet Of Things ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Unmanned Vehicles ◽  
Mountainous Areas ◽  
Propagation Models ◽  
Link Budget ◽  
Wireless Infrastructure ◽  
3Rd Generation Partnership Project ◽  
Node Displacement

Currently, the use of unmanned vehicles, such as drones, boats and ships, in monitoring tasks where human presence is difficult or even impossible raises several issues. Continuous efforts to improve the autonomy of such vehicles have not solved all aspects of this issue. In an Internet of Unmanned Vehicles (IoUV) environment, the idea of replacing the static wireless infrastructure and reusing the mobile monitoring nodes in different conditions would converge to a dynamic solution to assure data collection in areas where there is no infrastructure that ensures Internet access. The current paper fills a significant gap, proposing an algorithm that optimises the positions of unmanned vehicles such that an ad hoc network is deployed to serve specific wireless sensor networks that have no other Internet connectivity (hilly/mountainous areas, Danube Delta) and must be connected to an Internet of Things (IoT) ecosystem. The algorithm determines the optimum positions of UV nodes that decrease the path losses below the link budget threshold with minimum UV node displacement compared to their initial coordinates. The algorithm was tested in a rural scenario and 3rd Generation Partnership Project (3GPP), free space and two-ray propagation models. The paper proposes another type of network, a Flying and Surface Ad Hoc Network (FSANET), a concept which implies collaboration and coexistence between unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) and several use cases that motivate the need for such a network.

Swarm Based Intelligent Transportation Systems Using Internet of Things in Vehicular Ad-Hoc Network

2020 ◽  
Vol 17 (12) ◽  
pp. 5503-5508
Author(s):  
R. Rajasekar ◽  
P. Sivakumar
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Research Work ◽  
Vehicular Ad Hoc Network ◽  
Delivery Ratio ◽  
Intelligent Transport System ◽  
Data Delivery ◽  
Intelligent Algorithms

The increasing current advancement of digital technology is completely based on Internet of Things (IoT). The IoT is used to facilitate smart city traffic congestion through Vehicular Ad-Hoc Network (VANET). In the Smart city, multiplying the number of vehicles has brought focus on road safety precautions and communication between vehicles. It is a precise time to concentrate on the new advancement of modern applications and its related services towards the vehicular environments. The Manual traffic systems are not sufficient for the increasing modernization of the city. The VANET is a spontaneous Ad-Hoc network formed over vehicles wandering on the road. In this research work states that the overview of various IoT based routing methodologies and challenges towards the VANET routing through intelligent optimization. The Swarm based intelligent algorithms for Vehicular Ad-Hoc networks deals with latency, data throughput, data delivery cost and data delivery ratio of the intelligent system. Swarm intelligent algorithms are used for optimization of intelligent transport system. It is a collective behavioral system of nature inspired ant/bee activity.

scholarly journals Distance-Based Performance Evaluation of Two-Ray Ground and Free Space Propagation Models in Mobile Ad-hoc NETwork (MANET)

2021 ◽  
Keyword(s):  
Performance Evaluation ◽  
Full Text ◽  
Free Space ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Propagation Models ◽  
Mobile Ad Hoc

Abstract The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.

Ad Hoc Network Routing Technology in the Internet of Things

2014 ◽  
Vol 556-562 ◽  
pp. 5852-5854
Author(s):  
Ying Wei
Keyword(s):  
Internet Of Things ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Physical World ◽  
Network Routing ◽  
The Internet ◽  
Test Environment ◽  
Communication Performance ◽  
Routing Technology ◽  
The Internet Of Things

The internet of things perception and recognition by the ubiquitous information to the physical world. Ad Hoc provide suitable network environment to the internet of things, whose routing protocol Protect data transmission efficient and reliable. This paper not only analyzes the particularity of Ad Hoc network technology in the Internet of Things, but also simulates AODV and DSDV in test environment to analysis the communication performance in the internet of things.

scholarly journals Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1068
Author(s):  
Imran Memon ◽  
Mohammad Kamrul Hasan ◽  
Riaz Ahmed Shaikh ◽  
Jamel Nebhen ◽  
Khairul Azmi Abu Bakar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Data Transmission ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Performance Comparison ◽  
Vehicular Ad Hoc Network ◽  
The Road ◽  
Road Side Unit ◽  
Head Node

Many algorithms use clustering to improve vehicular ad hoc network performance. The expected points of many of these approaches support multiple rounds of data to the roadside unit and constantly include clustering in every round of single-hop data transmission towards the road side unit; however, the clustering in every round maximizes the number of control messages and there could be the possibility of collision and decreases in network energy. Multi-hop transmission prolongs the cluster head node’s lifetime and boosts the network’s efficiency. Accordingly, this article proposes a new fuzzy-clustering-based routing algorithm to benefit from multi-hop transmission clustering simultaneously. This research has analyzed the limitation of clustering in each round, different algorithms were used to perform the clustering, and multi-hop routing was used to transfer the data of every cluster to the road side unit. The fuzzy logic was used to choose the head node of each cluster. Three parameters, (1) distance of each node, (2) remaining energy, and (3) number of neighbors of every node, were considered as fuzzy criteria. The results of this research were compared to various other algorithms in relation to parameters like dead node in every round, first node expire, half node expire, last node expire, and the network lifetime. The simulation results show that the proposed approach outperforms other methods. On the other hand, the vehicular ad hoc network (VANET) environment is vulnerable at the time of data transmission. The NS-2 software tool was used to simulate and evaluate the proposed fuzzy logic opportunistic routing’s performance results concerning end-to-end delay, packet delivery, and network throughput. We compare to the existing protocols, such as fuzzy Internet of Things (IoT), two fuzzy, and Fuzzy-Based Driver Monitoring System (FDMS). The performance comparison also emphasizes an effective utilization of the resources. Simulations on the highway environment show that the suggested protocol has an improved Quality of Service (QoS) efficiency compared to the above published methods in the literature.

Data Dissemination for Vehicles in Temporary Cellular Network Dead Spots

2019 ◽  
Vol 1 (2) ◽  
pp. 38-55
Author(s):  
Ergys Puka ◽  
Peter Herrmann
Keyword(s):  
Mobile Phones ◽  
Waiting Time ◽  
Ad Hoc Network ◽  
Cellular Network ◽  
Ad Hoc ◽  
Data Dissemination ◽  
Connected Vehicles ◽  
Network Coverage ◽  
Network Access ◽  
Mountainous Areas

The cellular network coverage in sparsely populated and mountainous areas is often patchy. That can be a significant impediment for services based on connections between vehicles and their environment. This article presents a method to reduce the waiting time occurring when a vehicle intends to send a message via a cellular network but is currently in a dead spot, i.e., an area without sufficient coverage. The authors introduce a data dissemination protocol that allows vehicles to connect through an ad-hoc network. The ad-hoc network peers can then find out which one will most likely leave the dead spot first. The selected vehicle stores then the messages of all connected vehicles and forwards them to the remote infrastructure as soon as it regains cellular network access. This research also discusses message flows in larger dead spots in which a vehicle may consecutively form several ad-hoc connections. Further, the authors describe an initial implementation of the protocol using the technology Wi-Fi Direct that is realized on most modern mobile phones.

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