Exploring the impact of social properties on routing in cognitive radio networks

Hou, Ling; Wong, Kin-Yeung; Yeung, Kwan L.

doi:10.1002/dac.3782

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…In Hou, 41 the effect of social features such as friendship, selfishness, and community on the routing performance of the radio networks has been analyzed through modeling a new concept, namely, cooperation willingness which comprised from social relations and individual selfishness. The authors express that community members, friends, and nodes with lower individual selfishness should be employed as the relay nodes.…”

Section: Routing Protocolsmentioning

confidence: 99%

MSN‐CDF: New community detection framework to improve routing in mobile social networks

Moradi

Mohasefi

Mahdipour

2021

Int J Communication

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In mobile social networks (MSN), portable devices of mobile users communicate with each other. The contact and intercontact times are the two most important parameters that specify the behavior of MSN. Many social features such as similarity, centrality, closeness, and distance are derived from contact and intercontact time patterns. Those parameters and features can be used in the community detection process in community-based routing as a vector weight of network graph edges. But there is no solution for proper exploitation of them as a multicriteria optimization of community detection algorithms so that the communities become more adaptive with the MSN quiddity and the computational complexity of the algorithms to be stay constant. In this paper, we propose the MSN-adaptive community detection framework, MSN-CDF, which meets these demands. We improve the quality function of community detection methods, for example, the Intensity in clique percolation methods and the Modularity in modularity-based methods, through our new modelbased joint optimization of their quality functions. To this end, to express the MSN contact and social features, we develop a criterion called MCSF. It holds the contact time and intercontact time distributions parameters and implies their social features for MSN purposes. This criterion has as little traffic as possible and enjoys from the probabilistic joint distribution model. The simulations show that MSN-CDF reduces the network overhead significantly compared with the DiBUBB, Epidemic, and Dynamic Routing. Moreover, it outperforms DiBUBB and Dynamic Routing in terms of delivery rate and delivery latency.K E Y W O R D S community-based routing, community detection, delay-tolerant networks, mobile social networks 1 | INTRODUCTION Delay tolerant networks (DTN) communicate in disconnected environments where traditional protocols, such as TCP, would fail to work. It has been used in many fields including pocket switched networks (PSN), mobile social networks (MSN), delay-tolerant sensor networks (DTSN), mobile delay-tolerant ad hoc networks (MDTANET), interplanetary networks (IPN), underwater networks (UWN), and vehicular delay-tolerant ad hoc networks (VDTANET). Nowadays,

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Section: Routing Protocolsmentioning

confidence: 99%

MSN‐CDF: New community detection framework to improve routing in mobile social networks

Moradi

Mohasefi

Mahdipour

2021

Int J Communication

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“…Hou at al. [32] studied the social properties, including community, friendship, and individual selfishness of cognitive radio networks and analyzed the effect of these social properties on the performance of routing protocols. Lu et al [33]considered both the primary and secondary activities in the actual accessible whitespace from a social activity perspective, and proposed a greedy spectrum aware routing algorithm for CRAHNs.…”

Section: B Social Aware Data Transmission In Crahnsmentioning

confidence: 99%

OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks

Zhong

Yuan

et al. 2020

IEEE Trans. Commun.

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In recent years, a large number of smart devices will be connected in Internet of Things (IoT) using an ad hoc network, which needs more frequency spectra. The cognitive radio (CR) technology can improve spectrum utilization in an opportunistic communication manner for IoT, forming a promising paradigm known as cognitive radio ad hoc networks, CRAHNs. However, dynamic spectrum availability and mobile devices/persons make it difficult to develop an efficient data transmission scheme for CRAHNs under an obstacle environment. Opportunistic routing can leverage the broadcast nature of wireless channels to enhance network performance. Inspired by this, in this paper, we propose an Obstacle aware Opportunistic Data Transmission scheme (OODT) in CRAHNs from a computational geometry perspective, considering energy efficiency and social features. In the proposed scheme, we exploit a new routing metric, which is based on an obstacle avoiding algorithm using a polygon boundary 1-searcher technology, and an auction model for selecting forwarding candidates. In addition, we prove that the candidate selection problem is NP-hard and propose a heuristic algorithm for candidate selection. The simulation results show that the proposed scheme can achieve better performance than existing schemes.

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TOT: Trust aware opportunistic transmission in cognitive radio Social Internet of Things

Wang

Zhong

et al. 2020

Computer Communications

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Exploring the impact of social properties on routing in cognitive radio networks

Cited by 3 publications

References 14 publications

MSN‐CDF: New community detection framework to improve routing in mobile social networks

MSN‐CDF: New community detection framework to improve routing in mobile social networks

OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks

TOT: Trust aware opportunistic transmission in cognitive radio Social Internet of Things

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