Evaluation of the Impact of Selfish Nodes in Ad Hoc Networks and Detection and Countermeasure Methods

2006 ◽  
Author(s):  
Shin Yokoyama ◽  
Y. Nakane ◽  
O. Takahashi ◽  
E. Miyamoto
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Selfish Nodes ◽  
Hoc Networks ◽  
The Impact

A Game Incentive Scheme Integrating Punishment in Vehicular Ad Hoc Networks

2011 ◽  
Vol 219-220 ◽  
pp. 351-357 ◽  
Author(s):  
Jin Song Gui ◽  
Zhi Gang Chen ◽  
Xiao Heng Deng
Keyword(s):  
Ad Hoc Networks ◽  
Traffic Accidents ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Incentive Scheme ◽  
Selfish Nodes ◽  
For Profit ◽  
Network Load ◽  
Hoc Networks ◽  
The Impact

In vehicular ad hoc networks, uncooperative behaviors will impact the reliability of comfort applications, as well as drivers’ decisions, and even invoke serious traffic accidents. In this paper, we propose a novel game incentive scheme to stimulate cooperation among vehicle nodes, consider selfish nodes’ expectations to future payoff and their long-term desires for profit, and show analytically the three incentive-compatible conditions under which selfish nodes will be deterred from cheating by the subsequent punishments. We also discuss the impact on selfish nodes’ behavior, which is caused by their willingness for future collaboration, the parameter values of punishment mechanism and the variation of network load. Simulation results show that, the increase of network load and the deterioration of node’s future profit expectation will motivate nodes toward self-interested action, but our scheme can neutralize this tendency by the careful configuration of punishment parameters, and have favorable incentive effect.

A Game Theoretic Approach to Thwart Selfishness Attack in MANET

2012 ◽  
Vol 433-440 ◽  
pp. 3944-3948
Author(s):  
Prasenjit Choudhury ◽  
Anita Pal ◽  
Anjali Gupchup ◽  
Krati Budholiya ◽  
Alokparna Banerjee
Keyword(s):  
Ad Hoc ◽  
Theoretic Approach ◽  
Selfish Nodes ◽  
Selfish Behavior ◽  
Mutual Cooperation ◽  
Game Theoretic ◽  
Hoc Networks ◽  
High Level ◽  
The Impact ◽  
Game Theoretic Approach

Ad-hoc networks are attractive, since they can provide a high level of connectivity without the need of a fixed infrastructure. Nodes that are not within the same transmission range communicate through multi-hops, where intermediate nodes act as relays. Mutual cooperation of all the participating nodes is necessary for proper operation of MANET. However, nodes in MANET being battery-constrained, they tend to behave selfishly while forwarding packets. In this paper, we have investigated the security of MANET AODV routing protocol by identifying the impact of selfish nodes on it. It was observed that due to the presence of selfish nodes, packet loss in the network increases and the performance of MANET degrades significantly. Finally a game theoretic approach is used to mitigate the selfishness attack. All the nodes in MANET should cooperate among themselves to thwart the selfish behavior of attacker nodes.

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

2021 ◽  
Author(s):  
Altaf Hussain ◽  
Muhammad Rafiq Khan
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Signal Strength ◽  
Propagation Model ◽  
Strong Impact ◽  
Propagation Models ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
The Impact

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.

scholarly journals Flying Ad Hoc Networks: A New Domain for Network Communications

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3571 ◽  
Author(s):  
Antonio Guillen-Perez ◽  
Maria-Dolores Cano
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Added Value ◽  
Research Activities ◽  
Communication Links ◽  
Communication Devices ◽  
Hoc Networks ◽  
5 Ghz ◽  
The Impact

The advent of flying ad hoc networks (FANETs) has opened an opportunity to create new added-value services. Even though it is clear that these networks share common features with its predecessors, e.g., with mobile ad hoc networks and with vehicular ad hoc networks, there are several unique characteristics that make FANETs different. These distinctive features impose a series of guidelines to be considered for its successful deployment. Particularly, the use of FANETs for telecommunication services presents demanding challenges in terms of quality of service, energy efficiency, scalability, and adaptability. The proper use of models in research activities will undoubtedly assist to solve those challenges. Therefore, in this paper, we review mobility, positioning, and propagation models proposed for FANETs in the related scientific literature. A common limitation that affects these three topics is the lack of studies evaluating the influence that the unmanned aerial vehicles (UAV) may have in the on-board/embedded communication devices, usually just assuming isotropic or omnidirectional radiation patterns. For this reason, we also investigate in this work the radiation pattern of an 802.11 n/ac (WiFi) device embedded in a UAV working on both the 2.4 and 5 GHz bands. Our findings show that the impact of the UAV is not negligible, representing up to a 10 dB drop for some angles of the communication links.

scholarly journals A Survey on the Noncooperative Environment in Smart Nodes-Based Ad Hoc Networks: Motivations and Solutions

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Muhammad Altaf Khan ◽  
Moustafa M. Nasralla ◽  
Muhammad Muneer Umar ◽  
Zeeshan Iqbal ◽  
Ghani Ur Rehman ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Information Exchange ◽  
Ad Hoc ◽  
Performance Metrics ◽  
Data Gathering ◽  
Selfish Nodes ◽  
Selfish Behavior ◽  
Work Distribution ◽  
Hoc Networks

In ad hoc networks, the communication is usually made through multiple hops by establishing an environment of cooperation and coordination among self-operated nodes. Such nodes typically operate with a set of finite and scarce energy, processing, bandwidth, and storage resources. Due to the cooperative environment in such networks, nodes may consume additional resources by giving relaying services to other nodes. This aspect in such networks coined the situation of noncooperative behavior by some or all the nodes. Moreover, nodes sometimes do not cooperate with others due to their social likeness or their mobility. Noncooperative or selfish nodes can last for a longer time by preserving their resources for their own operations. However, such nodes can degrade the network's overall performance in terms of lower data gathering and information exchange rates, unbalanced work distribution, and higher end-to-end delays. This work surveys the main roots for motivating nodes to adapt selfish behavior and the solutions for handling such nodes. Different schemes are introduced to handle selfish nodes in wireless ad hoc networks. Various types of routing techniques have been introduced to target different types of ad hoc networks having support for keeping misbehaving or selfish nodes. The major solutions for such scenarios can be trust-, punishment-, and stimulation-based mechanisms. Some key protocols are simulated and analyzed for getting their performance metrics to compare their effectiveness.

The Impact of Delay in Dominating Set and Neighbor Elimination Based Broadcasting in Ad Hoc Networks

2007 ◽  
pp. 115-128
Author(s):  
Fabián García-Nocetti ◽  
Francisco Javier Ovalle-Martínez ◽  
Julio Solano-González ◽  
Ivan Stojmenović
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Dominating Set ◽  
Hoc Networks ◽  
The Impact

On the Impact of Network Dynamics on a Discovery Protocol for Ad-Hoc Networks

2010 ◽  
pp. 1595-1613
Author(s):  
Fei Liu ◽  
Geert Heijenk
Keyword(s):  
Ad Hoc Networks ◽  
Linear Relation ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Network Dynamics ◽  
Bloom Filters ◽  
Context Information ◽  
Node Density ◽  
Hoc Networks ◽  
The Impact

A very promising approach to discovering services and context information in ad-hoc networks is based on the use of Attenuated Bloom filters. In this paper we analyze the impact of changes in the connectivity of an ad-hoc network on this approach. We evaluate the performance of the discovery protocol while nodes appear, disappear, and move, through analytical and simulative analysis. The analytical results are shown to be accurate when node density is high. We show that an almost linear relation exists between the density of the network and the number of update messages to be exchanged. Further, in case of nodes moving, the number of messages exchanged does not increase with the speed of movement.

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