Intelligent Device-to-Device Communication in the Internet of Things

Bello, Oladayo; Zeadally, Sherali

doi:10.1109/jsyst.2014.2298837

Cited by 413 publications

(218 citation statements)

References 26 publications

Supporting

Mentioning

217

Contrasting

Unclassified

Order By: Relevance

“…Device-to-device (D2D) communication has attracted a considerable amount of attention and is now regarded as a promising technology for IoT networks due to its high power efficiency, high spectral efficiency, and low transmission delay [3]- [6]. Such a flexible transmission protocol alleviates the stringent design requirements usually placed on infrastructure devices and reduces transmission overheads caused by centralized coordination and management [4].…”

Section: A Background Knowledgementioning

confidence: 99%

Optimal Routing for Multihop Social-Based D2D Communications in the Internet of Things

Chen

Tang

Coon

2018

IEEE Internet Things J.

View full text Add to dashboard Cite

Abstract-With the development of wireless communications and the intellectualization of machines, the Internet of things (IoT) has been of interest to both industry and academia. Multihop routing and relaying are key technologies that will underpin IoT mesh networks in the future. This paper investigates optimal routing based on the trusted connectivity probability (T-CP) for multi-hop, underlay, device-to-device (D2D) communications with decode-and-forward (DF) relaying. Both random and fixed locations for base stations (BSs) are considered, where the former case assumes that the locations of the BSs are modeled as a Poisson point process (PPP). First, we derive two expressions for the connectivity probability (CP): a tight lower bound and an exact closed-form. Analysis is carried out for the cases where the channel state information (CSI) between BSs and the D2D transmitter is known (CSI-aware) and unknown (no-CSI). Interference from active cellular users (CUEs) is characterized by modeling CUE locations as a PPP. Moreover, motivated by results that have shown that social behavior leads to D2D devices communicating with nearby neighbours, we derive the trust probability (TP) for D2D connections by using a rank-based model. Finally, we propose a novel routing algorithm that can achieve the highest T-CP for any pair of D2D devices in a distributed manner. The derived analytical results are verified by Monte Carlo simulations. We show that the proposed routing algorithm achieves almost the same performance as that attained through an exhaustive search. When BSs are located randomly, the optimal path based on the CP is the shortest path between the D2D transmitter and receiver. However, for fixed BSs, the optimal path selection depends on the locations of the BSs, which provides a very useful insight in designing the multi-hop D2D system for 5G IoT.

show abstract

Section: A Background Knowledgementioning

confidence: 99%

Optimal Routing for Multihop Social-Based D2D Communications in the Internet of Things

Chen

Tang

Coon

2018

IEEE Internet Things J.

View full text Add to dashboard Cite

show abstract

“…This natural and simple algorithmic behaviour has proven to be so successful that it has inspired AI experts for decades in the attempt to implement similar mechanisms into robot interactions or AI systems, creating a research field called computational swarm intelligence (CSI) [2]. However, we can also find SI activity among humans [3,4], and with the evolution towards a society of information, we can also talk about an SI implemented into the Internet of Things (IoT) [5][6][7]. Therefore, we can see that bioinspiration is a successful trend in AI research and that SI provides a reliable framework for the generation and modulation of social behaviours, even at computational and electronically-connected levels.…”

Section: Swarm Intelligence and Systems Intersectionsmentioning

confidence: 99%

Swarm Intelligence via the Internet of Things and the Phenomenological Turn

2017

View full text Add to dashboard Cite

Considering the current advancements in biometric sensors and other related technologies, as well as the use of bio-inspired models for AI improvements, we can infer that the swarm intelligence paradigm can be implemented in human daily spheres through the connectivity between user gadgets connected to the Internet of Things. This is a first step towards a real Ambient Intelligence, but also of a Global Intelligence. This unconscious (by the user) connectivity may alter the way by which we feel the world. Besides, with the arrival of new augmented ways of capturing and providing information or radical new ways of expanding our bodies (through synthetic biology or artificial prosthesis like brain-computer connections), we can be very close to a change which may radically affect our experience of ourselves and of the feeling of collectivity. We call it the techno-phenomenological turn. We show social implications, present challenges, and and open questions for the new kind of swarm intelligence-enhanced society, and provide the taxonomy of the field of study. We will also explore the possible roadmaps of this next possible situation.Keywords: Techno-phenomenological turn, consciousness; neuro-interface; radio-transmission; wireless communication; internet of everything; social development Swarm Intelligence and Systems IntersectionsSwarm intelligence (SI) is a concept which describes how complex social behaviours can come from simple non-coordinated individual actions. Ants/bees/termites/wasps colonies, for example, follow this kind of self-organizing and collective intelligence [1]. While no single member of the colony has the power or skills to make decisions about general coordinated actions, the colony behaviour is finally organized efficiently following basic rules. This natural and simple algorithmic behaviour has proven to be so successful that it has inspired AI experts for decades in the attempt to implement similar mechanisms into robot interactions or AI systems, creating a research field called computational swarm intelligence (CSI) [2]. However, we can also find SI activity among humans [3,4], and with the evolution towards a society of information, we can also talk about an SI implemented into the Internet of Things (IoT) [5][6][7]. Therefore, we can see that bioinspiration is a successful trend in AI research and that SI provides a reliable framework for the generation and modulation of social behaviours, even at computational and electronically-connected levels. Taking into account the increment of available smart materials and the technological possibilities of the augmenting/upgrading/enhancing of human bodies, we suggest a future scenario in which SI is part of human behaviour, managing not only unconscious but also conscious actions.

show abstract

“…In this section these challenges are discussed [4].  Security: The essential test that is common in IoT and must be settled is managing security attacks.…”

Section: A Challenges In Iotmentioning

confidence: 99%

An Analysis on Routing Protocols for Internet of Things

Jangra¹,

Menakshi²

2017

IJARCSSE

View full text Add to dashboard Cite

Abstract--IoT provides interconnectivity between various devices crossover in sparse or dense areas. Devices may transfer data with each other through different routing protocols. A device movement can be controlled by movement model so it is clear that movement of nodes may effect on routing process. In this paper challenges in IoT routing protocols of IoT has been discussed in detail. After that comparative analysis of these routing protocols with various performance metrics like latency, route optimization and energy consumption has been done.Keywords--Internet of Things (IoT), Routing, AODV, DSR and Sensor. I. INTRODUCTIONWith the appearance of the Internet, people have been interconnected crosswise over geological limits. IoT is a worldview in which devices are installed with sensors that will make them interface with different articles and people also. These articles are fit for catching and changing the data they get from their condition. Headway in detecting, figuring and correspondence has acquired prominent change continuously correspondence and basic leadership [1]. Subsequently IoT expects to make the web universal and unavoidable in nature. The way toward gathering, sharing and transmitting data will include correspondence between nodes which go about as both host and router with or, on the other hand without human intercession. Also, the route disclosure prepare brings about overhead because of beaconing, where the network is overflowed with route ask for parcels. Subsequently we need to measure the energy and execution of each routing convention. Also, devices in IoT condition will be fit for area recognizable proof and warning and give history of earlier wireless associations. As billions of items will be associated with the web, it is essential to have an autonomous design that permits simple association, correspondence and control [2]. Association of these articles over stages and times when they should be sharable and disjoint is by all accounts a test. Internet of Things (IoT) is a wireless network of bury associated objects. It's a worldview in which devices are inserted with sensors that will make them collaborate with different items and people also. These items are fit for catching and changing the data they get from their condition [3]. As IoT networks are self arranging and decentralized, the items are transient and the network encounters dynamic changes in node position. Subsequently, routing has minor significance where bundles are transmitted between articles as a piece of correspondence foundation and effective conveyance of the bundles ought to be guaranteed. In addition because of its high dynamic nature route disclosure brings about critical overhead and energy utilization. A. Challenges in IoT:In IoT environment there are some open challenges like energy, mobility and many more. In this section these challenges are discussed [4].  Security: The essential test that is common in IoT and must be settled is managing security attacks. Insignificant limit of the gadgets, wireless cor...

show abstract

Intelligent Device-to-Device Communication in the Internet of Things

Cited by 413 publications

References 26 publications

Optimal Routing for Multihop Social-Based D2D Communications in the Internet of Things

Optimal Routing for Multihop Social-Based D2D Communications in the Internet of Things

Swarm Intelligence via the Internet of Things and the Phenomenological Turn

An Analysis on Routing Protocols for Internet of Things

Contact Info

Product

Resources

About