scholarly journals A Novel Approach for Securing Nodes using Two-Ray Model and Shadow Effects in Flying Ad-Hoc Network

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3164
Author(s):  
Manjit Kaur ◽  
Deepak Prashar ◽  
Mamoon Rashid ◽  
Sultan S. Alshamrani ◽  
Ahmed Saeed AlGhamdi

In the last decades, flying ad-hoc networks (FANET) have provided unique features in the field of unmanned aerial vehicles (UAVs). This work intends to propose an efficient algorithm for secure load balancing in FANET. It is performed with the combination of the firefly algorithm and radio propagation model. To provide the optimal path and to improve the data communication of different nodes, two-ray and shadow fading models are used, which secured the multiple UAVs in some high-level applications. The performance analysis of the proposed efficient optimization technique is compared in terms of packet loss, throughput, end-to-end delay, and routing overhead. Simulation results showed that the secure firefly algorithm and radio propagation models demonstrated the least packet loss, maximum throughput, least delay, and least overhead compared with other existing techniques and models.

2020 ◽  
Vol 2 (1) ◽  
pp. 67-75
Author(s):  
Priya Tama Sugara ◽  
Andy Hidayat Jatmika ◽  
Ariyan Zubaidi

VANET is part of the Mobile Ad-hoc Network (MANET), but the nodes on VANET have a higher level of mobility. Each node that moves will cause network activity (topology changes) such as route search and message sending handled by each node. So that each node must have a routing protocol to facilitate communication in the network. The selection of the appropriate routing protocol is needed in urban and  rural scenarios.This study aims to determine the effect of propagation model variants on data communication on the TORA, MDART and ZRP routing protocols on the VANET network on the Praya City and Bypass Lombok road maps with an area of ​​1000x1000 m2. For the variation of the routing protocol using four variations of the propagation model, namely the freespace propagation model, tworayground, shadowing, and nakagami. The number of nodes used in the Praya City road map is 35, 55, 70 nodes and in Lombok Bypass 25, 40, 60 nodes. The test parameters used are throughput, packet delivery ratio and end to end delay.In an urban scenario with an area of ​​1000x1000 m2, the TORA protocol gets a very good throughput parameter on nakagami propagation of 40.95 Kbps and on the ZRP protocol the value of the freespace propagation parameter PDR is 100%. While in the rural scenario a good value is obtained in freespace propagation is  4.82 second. Keywords: VANET, Routing Protocol, Propagation, NS2


Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.


Author(s):  
Amolkirat Singh ◽  
Guneet Saini

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.


2021 ◽  
Author(s):  
Altaf Hussain ◽  
Muhammad Rafiq Khan

Abstract Mobile Ad-hoc Network (MANET) is the most emerging and fast expanding technology since the last two decades. One of the major issue and challenging area in MANET is the process of routing due to dynamic topologies and high mobility of mobile nodes. The exchange of information from source to a destination is known as the process of routing. Spectacular amount of attention has been paid by researchers to reliable routing in ad-hoc networks. Efficiency and accuracy of a protocol depends on many parameters in these networks. In addition to other parameters node velocity and propagation models are among them. Calculating signal strength at receiver is the responsibility of a propagation model while mobility of nodes is responsible for topology of the network. A huge amount of loss in performance is occurred due to variation of signal strength at receiver and obstacles between transmissions. Simulation tools are developed to analyze the weakness and strength of protocols along with different parameters that may impact the performance. The choice of a propagation models have an abundant effect on performance on routing protocols in MANET. In this research, it has been analyzed to check the impact of different propagation models on the performance of Optimized Link State Routing (OLSR) in Sparse and Dense scenarios in MANET. The simulation has been carried out in NS-2 by using performance metrics as average Throughput, average packet drop and average latency. The results predicted that propagation models and mobility has a strong impact on the performance of OLSR in considered scenarios.


2015 ◽  
Vol 62 (2) ◽  
pp. 141-145 ◽  
Author(s):  
Rezvi Shahariar ◽  
Abu Naser

In mobile ad hoc network communication is performed usually by using only send and receive messages and every node is powered by limited energy from low capacity battery. Every send or receive message takes particular amount of energy from the node. So node’s total energy level gradually decreases each time while it is sending or receiving something. In this way node will die out and packets coming from the source will be dropped since one of the routing node on the current route is no longer functioning. These packet loss events are observed and minimized in this paper. In the proposed approach, when source receives Warning Message from any routing node on the ongoing route then it will stop sending packets on the ongoing route. Critical energy level of routing node has been defined to generate a Warning Message when routing node’s energy level reduces to critical energy level. DOI: http://dx.doi.org/10.3329/dujs.v62i2.21979 Dhaka Univ. J. Sci. 62(2): 141-145, 2014 (July)


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