TTL based MaxProp routing protocol

Das, M Venkat; Sarkar, Sagar; Iqbal, Shahid Md. Asif

doi:10.1109/iccitechn.2016.7860159

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…Then the entire vector is normalised so that the magnitude of the whole vector is equal to one. Upon initial contact between two nodes, they exchange their vectors, in an optimal solution, every node has an up-to-date, accurate element within the vector containing the probabilities linked to every other node [37]. Then the vectors can be used during a depth-first search in order to find the shortest path to the destination node.…”

Section: Black and Grey Hole Maxpropmentioning

confidence: 99%

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles

Brocklehurst

Radenkovic

2022

JSAN

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The increased interest in autonomous vehicles has led to the development of novel networking protocols in VANETs In such a widespread safety-critical application, security is paramount to the implementation of the networks. We view new autonomous vehicle edge networks as opportunistic networks that bridge the gap between fully distributed vehicular networks based on short-range vehicle-to-vehicle communication and cellular-based infrastructure for centralized solutions. Experiments are conducted using opportunistic networking protocols to provide data to autonomous trams and buses in a smart city. Attacking vehicles enter the city aiming to disrupt the network to cause harm to the general public. In the experiments the number of vehicles and the attack length is altered to investigate the impact on the network and vehicles. Considering different measures of success as well as computation expense, measurements are taken from all nodes in the network across different lengths of attack. The data gathered from each node allow exploration into how different attacks impact metrics including the delivery probability of a message, the time taken to deliver and the computation expense to each node. The novel multidimensional analysis including geospatial elements provides evidence that the state-of-the-art MaxProp algorithm outperforms the benchmark as well as other, more complex routing protocols in most of the categories. Upon the introduction of attacking nodes however, PRoPHET provides the most reliable delivery probability when under attack. Two different attack methods (black and grey holes) are used to disrupt the flow of messages throughout the network and the more basic protocols show that they are less consistent. In some metrics, the PRoPHET algorithm performs better when under attack due to the benefit of reduced network traffic.

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Section: Black and Grey Hole Maxpropmentioning

confidence: 99%

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles

Brocklehurst

Radenkovic

2022

JSAN

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“…This algorithm improves the possibility of successful information transmission and reduces resource overhead and transmission delay. Das et al [44] improved the MaxProp algorithm and proposed a MaxProp routing algorithm based on time-to-live. The algorithm focuses on the survival time of the information transmitted, ranks the data to be transmitted according to time, and avoids the loss of information with a high TTL value.…”

Section: Related Workmentioning

confidence: 99%

Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks

Liu

Luo

et al. 2021

Electronics

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With the rapid popularization of 5G communication and internet of things technologies, the amount of information has increased significantly in opportunistic social networks, and the types of messages have become more and more complex. More and more mobile devices join the network as nodes, making the network scale increase sharply, and the tremendous amount of datatransmission brings a more significant burden to the network. Traditional opportunistic social network routing algorithms lack effective message copy management and relay node selection methods, which will cause problems such as high network delay and insufficient cache space. Thus, we propose an opportunistic social network routing algorithm based on user-adaptive data transmission. The algorithm will combine the similarity factor, communication factor, and transmission factor of the nodes in the opportunistic social network and use information entropy theory to adaptively assign the weights of decision feature attributes in response to network changes. Also, edge nodes are effectively used, and the nodes are divided into multiple communities to reconstruct the community structure. The simulation results show that the algorithm demonstrates good performance in improving the information transmission’s success rate, reducing network delay, and caching overhead.

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“…e MaxProp routing algorithm avoids each message transmission using the flooding technique in the whole network and reduces routing overhead. Das et al [29] recommends a Time-To-Live (TTL) based on the MaxProp routing algorithm, which based on hop count and TTL values prioritize the schedule of packets in data transmission. Compared with the MaxProp algorithm, this algorithm can greatly increase the amount of information transmission and reduce the overhead rate and delay under the same network resource consumption.…”

Section: Related Workmentioning

confidence: 99%

Advanced Data Delivery Strategy Based on Multiperceived Community with IoT in Social Complex Networks

Luo

2020

Complexity

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With the advent of 5G communication standards, the number of 5G base stations increases steadily, and the number of mobile terminals and IoT (Internet of Things) devices increases sharply, which sharps a large number of IoT devices and forms a complex network. These devices can take as nodes of a community in the opportunistic social network. However, in the environment of traditional opportunistic network algorithm and mass data transmission, information transmission is only carried out at several source nodes in the community, which usually leads to transmission delay, excessive energy consumption, and source node death. Therefore, we propose an effective data delivery based on the multiperceived domain algorithm, which recombines communities based on the correlation degree of nodes, and new communities assist source nodes to transmit information in solving these problems. The comparison between the experiment and the classical opportunistic network algorithm shows that the method has outstanding performance in reducing the resource consumption of data transmission and improving the efficiency of information transmission.

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TTL based MaxProp routing protocol

Cited by 6 publications

References 15 publications

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles

Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks

Advanced Data Delivery Strategy Based on Multiperceived Community with IoT in Social Complex Networks

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