Routing in Mobile Ad-Hoc Networks Using Social Tie Strengths and Mobility Plans

Gupta, Riten; Krishnamurthi, Niyant; Wang, Uen-Tao; Tamminedi, Tejaswi; Gerla, Mário

doi:10.1109/wcnc.2017.7925620

Cited by 12 publications

(8 citation statements)

References 15 publications

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“…Among all the schemes mentioned in the related works, 10-22 some works [17][18][19][20][21][22] are routing schemes based on ICN paradigm, whereas others are not. We cannot compare IRCD with other works [10][11][12][13][14][15][16] because they have totally different packet formats from the ICN based routing schemes (eg, the interest packet in ICN-based routing scheme does not have destination address). Therefore, we do not select any scheme from the other works [10][11][12][13][14][15][16] as the benchmark.…”

Section: Benchmarksmentioning

confidence: 99%

“…We cannot compare IRCD with other works [10][11][12][13][14][15][16] because they have totally different packet formats from the ICN based routing schemes (eg, the interest packet in ICN-based routing scheme does not have destination address). Therefore, we do not select any scheme from the other works [10][11][12][13][14][15][16] as the benchmark. Among related works, [17][18][19][20][21][22] Lu et al 21 and Xu et al 22 consider community structures among mobile users, whereas other works [17][18][19][20] do not.…”

Section: Benchmarksmentioning

confidence: 99%

“…In the work of Xiao et al, a distributed optimal community‐aware opportunistic routing algorithm was proposed and a home‐aware community model was built, whereby the MSN was turned into a network, which only included communities. In the work of Gupta et al, the planned mobilities of the nodes were partially known a priori. The optimal routes were computed using the most reliable path principle, in which the negative logarithm of a node pair's adjacency probability was used as a link weight metric.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Information‐centric routing in MSN based on community detection

Shi

Wang

Huang

et al. 2018

Trans Emerging Tel Tech

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Mobile social network (MSN) offers a new perspective on mobile ad hoc communication since its routing principle is based on the human social relations. Although social‐based routing can improve routing efficiency considerably, obtaining such social information is difficult to be achieved. In information‐centric networking (ICN), content names reveal useful social information among users. In addition, each node stores and caches the received content to satisfy the forthcoming content requests in ICN due to in‐network caching. In this work, the proposed MSN routing relies on named data networking, which is a well‐known ICN paradigm. By the communities, which are detected based on users' interest preferences, an interest packet is delivered to the content provider based on the interest similarities among mobile users. Then, by communities, which are detected based on the nodes' encounter regularities, a data packet is returned to the interest requester according to the social relationships among mobile users. The content is cached at nodes according to both social and interest communities. Experiments and performance evaluations show that the proposed scheme has better message delivery ratio and lower network overhead than the other existing ones.

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Section: Benchmarksmentioning

confidence: 99%

Section: Benchmarksmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Information‐centric routing in MSN based on community detection

Shi

Wang

Huang

et al. 2018

Trans Emerging Tel Tech

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“…On the other hand, other works defend the proposal that CPSS are made of traditional sensors, but being able to stablish ad hoc connections in order to share relevant information with other nodes, as people do in social networks. Proposals related to social robots [ 26 ], social techniques for information dissemination in sensor networks [ 44 ], social ad hoc networks [ 45 ] and social routing protocols [ 46 , 47 ] have been reported around this topic.…”

Section: State Of the Artmentioning

confidence: 99%

A Methodology for the Design of Application-Specific Cyber-Physical Social Sensing Co-Simulators

Bordel

Sánchez-Picot

2017

Sensors

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Cyber-Physical Social Sensing (CPSS) is a new trend in the context of pervasive sensing. In these new systems, various domains coexist in time, evolve together and influence each other. Thus, application-specific tools are necessary for specifying and validating designs and simulating systems. However, nowadays, different tools are employed to simulate each domain independently. Mainly, the cause of the lack of co-simulation instruments to simulate all domains together is the extreme difficulty of combining and synchronizing various tools. In order to reduce that difficulty, an adequate architecture for the final co-simulator must be selected. Therefore, in this paper the authors investigate and propose a methodology for the design of CPSS co-simulation tools. The paper describes the four steps that software architects should follow in order to design the most adequate co-simulator for a certain application, considering the final users’ needs and requirements and various additional factors such as the development team’s experience. Moreover, the first practical use case of the proposed methodology is provided. An experimental validation is also included in order to evaluate the performing of the proposed co-simulator and to determine the correctness of the proposal.

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“…Therefore, the connection of MANET-DTN networks also known as hybrid MANET-DTN networks integrates the benefits of the MANET routing protocols in the end-to-end environment where all devices are connected and benefits of DTN forwarding techniques when no end-to-end path exists [1]. Researchers and scientists are still trying to create new routing protocols for these networks [2,3]. They trying to create effective and well-functioning protocols in terms of message delays, delivery success and so on.…”

Section: Introductionmentioning

confidence: 99%

Tools for evaluation of social relations in mobility models

et al. 2017

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In MANET-DTN, the main idea is to detect the social relations between nodes in mobility models because the wireless mobile devices are carried by humans and the network uses the social relations to transport messages between isolated islands of the mobile terminals in order to increase the network performance. Today there are a lot of social and non-social mobility models. The problem is how to use these models in MANET-DTN. Therefore, proper evaluation method is needed, that is able to reveal the social aspect of investigated mobility model. Since there are a lot of methods that do not directly exhibit the social aspect of mobility models, in this paper the new evaluation method was proposed based on Louvain method for community detection and the other network graph parameter (average weighted degree). Simulations of evaluation method were made as a comparison between two random mobility models and one social based mobility model in order to point out differences between social and non-social mobility models. All models were evaluated by proposed method and other existing protocol dependent and independent methods. The main idea of the simulations was to analyse how the mobility modThis work was performed in the framework of research project VEGA 1/0075/15, funded by the ministry of education of Slovak Republic. els with social and non-social mobility models can affect the network performance and provide new and reliable tool, which enables analysis of the mobility models from social behaviour point of view.

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Routing in Mobile Ad-Hoc Networks Using Social Tie Strengths and Mobility Plans

Cited by 12 publications

References 15 publications

Information‐centric routing in MSN based on community detection

Information‐centric routing in MSN based on community detection

A Methodology for the Design of Application-Specific Cyber-Physical Social Sensing Co-Simulators

Tools for evaluation of social relations in mobility models

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