Energy aware routing for efficient green communication in opportunistic networks

Dhurandher, Sanjay Kumar; Woungang, Isaac; Singh, Jagdeep; Borah, Satya Jyoti

doi:10.1049/iet-net.2018.5106

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…Identify entities, and use the same pointer to calculate the similarity of each entity [27,28]. And set the similar pair that the limit is greater than the standard to export as a set of similar pair files.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

[Retracted] Study on DTN Routing Protocol of Vehicle Ad Hoc Network Based on Machine Learning

Liang

Shang

Wang

2021

Wireless Communications and Mobile Computing

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The vehicle-mounted self-organizing network is a part of the MANET network. It is placed between the roadside vehicle and the fixed communication equipment. It can serve as a hub for road vehicles and can enable multihorsepower wireless mechanisms to exchange data between vehicles. This article is aimed at studying the DTN routing protocol based on machine learning in the vehicle self-organizing network. When data is forwarded, the node will determine the forwarding route selection according to its own coordinate information, the coordinate information of neighboring nodes, and the coordinate information of the destination node. Usually, the purpose is for the geographic coordinates of the node to be stored in the data packet. And data packets are periodically transmitted between nodes on each network. So that when you publish your own coordinate nodes, you can update the location information of nearby nodes at any time. This paper proposes that routing technology has become one of the most important challenges in vehicle self-organization, and there are many reasons for this. These reasons include frequent changes in the network topology and fast-moving mobile nodes. The experimental results in this paper show that more than 67% of the network data is obtained through the Gawk data extraction tool to quantify GPSR performance indicators and obtain the average driving speed of the current vehicle node. When increasing, the average end-to-end transmission delay of the GPSR routing protocol increases, and the average transmission rate decreases.

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Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

[Retracted] Study on DTN Routing Protocol of Vehicle Ad Hoc Network Based on Machine Learning

Liang

Shang

Wang

2021

Wireless Communications and Mobile Computing

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“…In ref. [19], the authors propose an energy-efficient altruism-based message forwarding protocol for opportunistic networks, where social matrices are exploited to establish the reliability of a node in participating in the message forwarding procedure. Nguyen et al [20] recommended a social contextbased routing algorithm based on context information prediction.…”

Section: Related Workmentioning

confidence: 99%

Innovative mutual information‐based weighting scheme in stateless opportunistic networks

et al. 2021

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Recently, opportunistic networks (OppNets) are considered as one of the most attractive developments of mobile ad hoc networks that have emerged, thanks to the development of intelligent devices. Owing to the harsh and dynamic topology of these networks, attaining high delivery ratio is a challenging issue. Hence, it is imperative to select which node's attribute must be adjusted to achieve a higher performance in such unpredictable networks. A mutual information-based weighting scheme (MIWS) that exploits the entropy concept to assess the impact of the nodes' attributes on the network performance was proposed. The weighting procedure aims to figure out the correlative relations between different attributes and delivery ratio performance of the network. The high weight of certain attributes implies a correspondingly high impact in achieving efficient data forwarding. The proposed scheme is proofed conceptually and simulated using the Opportunistic Network Environment simulator. In contrast to previous studies conducted in the context of weight resolution, the proposed approach allows us to address this issue in real-time stateless non-social OppNets. Regardless of the deployed routing protocol, experiments show that adjusting nodes' attributes based on the proposed MIWS can improve the performance up to encouraging delivery ratios. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Woungang et al [27] proposed a message forwarding routing protocol based on energy-saving altruistic trust dependence, which uses the social exploitation matrix to determine the credibility of messages forwarded between nodes. In addition, by comparing with other algorithms, the superiority of the method is embodied.…”

Section: The Existing Algorithms Based On Social Attributes For Oppormentioning

confidence: 99%

MSSN: An Attribute-Aware Transmission Algorithm Exploiting Node Similarity for Opportunistic Social Networks

Guo

Xiao

2019

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Recently, with the development of big data and 5G networks, the number of intelligent mobile devices has increased dramatically, therefore the data that needs to be transmitted and processed in the networks has grown exponentially. It is difficult for the end-to-end communication mechanism proposed by traditional routing algorithms to implement the massive data transmission between mobile devices. Consequently, opportunistic social networks propose that the effective data transmission process could be implemented by selecting appropriate relay nodes. At present, most existing routing algorithms find suitable next-hop nodes by comparing the similarity degree between nodes. However, when evaluating the similarity between two mobile nodes, these routing algorithms either consider the mobility similarity between nodes, or only consider the social similarity between nodes. To improve the data dissemination environment, this paper proposes an effective data transmission strategy (MSSN) utilizing mobile and social similarities in opportunistic social networks. In our proposed strategy, we first calculate the mobile similarity between neighbor nodes and destination, set a mobile similarity threshold, and compute the social similarity between the nodes whose mobile similarity is greater than the threshold. The nodes with high mobile similarity degree to the destination node are the reliable relay nodes. After simulation experiments and comparison with other existing opportunistic social networks algorithms, the results show that the delivery ratio in the proposed algorithm is 0.80 on average, the average end-to-end delay is 23.1% lower than the FCNS algorithm (A fuzzy routing-forwarding algorithm exploiting comprehensive node similarity in opportunistic social networks), and the overhead on average is 14.9% lower than the Effective Information Transmission Based on Socialization Nodes (EIMST) algorithm.

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Energy aware routing for efficient green communication in opportunistic networks

Cited by 8 publications

References 20 publications

[Retracted] Study on DTN Routing Protocol of Vehicle Ad Hoc Network Based on Machine Learning

[Retracted] Study on DTN Routing Protocol of Vehicle Ad Hoc Network Based on Machine Learning

Innovative mutual information‐based weighting scheme in stateless opportunistic networks

MSSN: An Attribute-Aware Transmission Algorithm Exploiting Node Similarity for Opportunistic Social Networks

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