Cognitive radio for M2M and Internet of Things: A survey

Rawat, Priyanka; Singh, Kamal Deep; Bonnin, Jean Marie

doi:10.1016/j.comcom.2016.07.012

Cited by 168 publications

(96 citation statements)

References 140 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…dimungkinkan berbagai contoh pemanfaatannya. [13], [14], [21] Mengingat bahwa setiap perangkat yang turut serta diidentifikasi dengan kunci publiknya (atau hash-nya), suatu partisipan tidak perlu mengetahui semua kunci yang lain, melainkan hanya kunci dari pihak yang akan bertransaksi dengannya. Meskipun demikian, transaksi dalam Blockchain bersifat terbuka, sehingga dengan melakukan analisis data, pihak yang berkepentingan dapat mengidentifikasi pola, membuat hubungan antar alamat, dan pada akhirnya membuat inferensi yang memadai untuk menyimpulkan identitas riil di baliknya.…”

Section: Use-case Pemanfaatan Blockchain Untuk Iotunclassified

Studi atas Pemanfaatan Blockchain bagi Internet of Things (IoT)

Arief

Sundara

2017

RESTI

View full text Add to dashboard Cite

Internet of Things (IoT) ecosystem expands rapidly and it is predicted that it would connect 5-20 billion devices by 2020.The amount of data collected from these devices would be exaggerating. Current IoT ecosystem generally use centralized model. This model has some weakness, such as high maintenance cost. Distributed system may offer a solution. Blockchain, a distributed ledger technology, enable us to have a peer-to-peer network where non-trusting members can interact with each other without a trusted intermediary. This paper aims to explore the potential integration of Blockchain in IoT ecosystem. The result expected to show Blockhain model and use-cases that could be integrated into IoT. PendahuluanKetertarikan terhadap riset atas Blockchain meningkat signifikan dalam beberapa waktu terakhir. Blockchain merupakan teknologi ledger terdistribusi yang pada mulanya dikembangkan untuk menunjang mata uang (cryptocurrency) Bitcoin. Teknologi ini memungkinkan terjadinya transaksi secara langsung (peer-to-peer) tanpa perlu melibatkan pihak ketiga yang terpercaya. Meskipun pada mulanya digunakan dalam bidang finansial, teknologi ini membawa potensi yang besar untuk dapat digunakan dalam banyak bidang.[1]-[3] Pada sisi lain, pemanfaatan Internet of Things (IoT) juga telah berkembang signifikan, sehingga kurang dari satu dekade yang lalu, jumlah perangkat (things) yang terhubung ke internet telah melebihi jumlah manusia yang hidup di muka bumi.Fokus dari studi ini adalah untuk mengkaji potensi pemanfaatan Blockchain dalam ranah IoT. Tinjauan PustakaInternet of Things (IoT) telah memungkinkan berbagai perangkat untuk terhubung ke dalam jaringan Internet yang ada serta dikendalikan secara remote sebagaimana aset informasi virtual lainnya. Berbagai potensi dapat dikembangkan dengan teknologi ini, tetapi pada saat yang sama juga mendatangkan ancaman (threats) yang baru terhadap keamanan perangkat yang terhubung ke dalam internet.

show abstract

Section: Use-case Pemanfaatan Blockchain Untuk Iotunclassified

Studi atas Pemanfaatan Blockchain bagi Internet of Things (IoT)

Arief

Sundara

2017

RESTI

View full text Add to dashboard Cite

show abstract

“…It is preferred for femtocell to share the licensed frequency band with the pre-existing macrocell network. However, cell splitting and spectrum sharing will most probably cause harsh cross-tier interference, which restricts the reusability of frequency resources and becomes a key limiting factor in developing the IoT technology [7]. To ensure the peaceful coexistence of macrocell and femtocell, as well as improving the performance of cell-edge users, effective interference management scheme design has recently attracted growing interest [8].…”

Section: Introductionmentioning

confidence: 99%

Cognitive Interference Alignment Schemes for IoT Oriented Heterogeneous Two-Tier Networks

Tian

Wang

et al. 2018

Sensors

View full text Add to dashboard Cite

This paper considers interference management and capacity improvement for Internet of Things (IoT) oriented two-tier networks by exploiting cognition between network tiers with interference alignment (IA). More specifically, we target our efforts on the next generation two-tier networks, where a tier of femtocell serving multiple IoT devices shares the licensed spectrum with a tier of pre-existing macrocell via a cognitive radio. Aiming to manage the cross-tier interference caused by cognitive spectrum sharing as well as ensure an optimal capacity of the femtocell, two novel self-organizing cognitive IA schemes are proposed. First, we propose an interference nulling based cognitive IA scheme. In such a scheme, both co-tier and cross-tier interferences are aligned into the orthogonal subspace at each IoT receiver, which means all the interference can be perfectly eliminated without causing any performance degradation on the macrocell. However, it is known that the interference nulling based IA algorithm achieves its optimum only in high signal to noise ratio (SNR) scenarios, where the noise power is negligible. Consequently, when the imposed interference-free constraint on the femtocell can be relaxed, we also present a partial cognitive IA scheme that further enhances the network performance under a low and intermediate SNR. Additionally, the feasibility conditions and capacity analyses of the proposed schemes are provided. Both theoretical and numerical results demonstrate that the proposed cognitive IA schemes outperform the traditional orthogonal precoding methods in terms of network capacity, while preserving for macrocell users the desired quality of service.

show abstract

“…Currently, more and more objects with capacity of computing and wireless communication are being designed and deployed to construct pervasive computing environments, which leads to the era of the Internet of Things (IoT) [1]. With the wide deployment of wireless objects and mobile applications, the unlicensed portions of wireless spectrums especially the ISM band have become increasingly crowded.…”

Section: Introductionmentioning

confidence: 99%

Spectrum-Availability Based Routing for Cognitive Sensor Networks

Zhang

Cai

et al. 2016

Preprint

View full text Add to dashboard Cite

Abstract:With the occurrence of Internet of Things (IoT) era, the proliferation of sensors coupled with increasing usage of wireless spectrums especially the ISM band makes it difficult to deploy real-life IoT. Currently, the cognitive radio technology enables sensors transmit data packets among them through the licensed spectrum bands as well as the free ISM bands. Cognitive radio technology has been believed as a promising solution to the congestion problem of spectrum utilization. The dynamic spectrum access technology enables secondary users (SUs) access wireless channel bands that is originally licensed to primary users (PUs). Due to the high dynamic of spectrum availability, it is a challenge to design an efficient routing approach for SUs in Cognitive Sensor Networks (CSNs). We estimate the spectrum availability and spectrum quality from the view of both the global statistical spectrum usage and local instant spectrum status, and then introduce novel routing metrics to consider the estimation. In our novel routing metrics, one retransmission is allowed to restrict the number of rerouting and then increase the routing performance. Then, the related two routing algorithms according to the proposed routing metrics are designed. Finally, our routing algorithms in extensive simulations are implemented to estimate the routing performance, and we find that the proposed algorithms achieve a significant performance improvement compared with the reference algorithm.Keywords: internet of thing; IoT; cognitive sensor networks; forwarding; spectrum-availability; retransmission IntroductionCurrently, more and more objects with capacity of computing and wireless communication are being designed and deployed to construct pervasive computing environments, which leads to the era of the Internet of Things (IoT) [1]. With the wide deployment of wireless objects and mobile applications, the unlicensed portions of wireless spectrums especially the ISM band have become increasingly crowded. The Federal Communications Commission (FCC) stated current spectrum resources are static allocated and utilized in some limited geographical regions, and that the expectation of utilization is largely under-utilized [2]. To efficiently increase the ratio of the spectrum usage, cognitive radio emerged as a promising solution to the problem of low ratio of spectrum utilization [3,4]. In cognitive radio environments, primary users (PUs) coexist with secondary users (SUs), in which SUs usually carry cognitive radio devices, which enable them scan and sense the surrounding spectrum utilization; when finding spectral holes, in which no PUs access the related spectrum bands, Sus can opportunistically access these spectrums by adjusting their spectrum bands dynamically; in the process of spectrum usage, an SU should abandon its spectrum band at once and then switch to other available spectrum band when a PU arrives.Recently, researchers have gained much attention to multi-hop Cognitive Sensor Network (CRSN) [5][6][7][8][9]. A multi-hop CRSN consists...

show abstract

Cognitive radio for M2M and Internet of Things: A survey

Cited by 168 publications

References 140 publications

Studi atas Pemanfaatan Blockchain bagi Internet of Things (IoT)

Studi atas Pemanfaatan Blockchain bagi Internet of Things (IoT)

Cognitive Interference Alignment Schemes for IoT Oriented Heterogeneous Two-Tier Networks

Spectrum-Availability Based Routing for Cognitive Sensor Networks

Contact Info

Product

Resources

About