A Survey of Enabling Technologies of Low Power and Long Range Machine-to-Machine Communications

Wang, Hai; Fapojuwo, Abraham O.

doi:10.1109/comst.2017.2721379

Cited by 182 publications

(95 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…4.1) and the benchmark response time (Sec. 4.3) by performing computer simulations in low-power wide-area (LPWA) network [19], [20]-based WSNs. In addition, we demonstrate the verification of caching data (Sec.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…(18) is calculated by the link budget formula, which is given by RX = TX − TX + TX − P + RX − RX (dB) (20) where TX denotes the transmission radio power, TX and RX denote the power losses due to the physical circuit and impedance mismatching, and TX and RX denote the antenna gains at the transmitter side and receiver side, respectively. In addition, P in Eq.…”

Section: Radio Propagation Model and Calculation Of Snrmentioning

confidence: 99%

See 1 more Smart Citation

Secure Caching Scheme by Using Blockchain for Information-Centric Network-Based Wireless Sensor Networks

Mori

2018

Journal of Signal Processing

View full text Add to dashboard Cite

This paper addresses a secure caching scheme for information-centric network (ICN)-based wireless sensor networks (WSNs). In order to achieve the above mechanism, we utilize both the public-key cryptography technique and the blockchain technique, which enable data to be safely gathered and the decentralized and crossverified sensing data to be copied and stored. In addition, we propose a protocol design for introducing the proposed structure into an ICN-based WSN system. Furthermore, we formulate statistical models and demonstrate numerical results by performing computer simulations and hardware-based experiments.

show abstract

Section: Numerical Resultsmentioning

confidence: 99%

Section: Radio Propagation Model and Calculation Of Snrmentioning

confidence: 99%

Secure Caching Scheme by Using Blockchain for Information-Centric Network-Based Wireless Sensor Networks

Mori

2018

Journal of Signal Processing

View full text Add to dashboard Cite

show abstract

“…Extensive surveys on MAC protocol design for M2M networks are provided in [4], [25]- [27]. Also, several mechanisms for achieving improved M2M communications in LTE and LTE-Advanced cellular networks have been proposed; see [28] for a survey.…”

Section: Related Workmentioning

confidence: 99%

Fast node cardinality estimation and cognitive MAC protocol design for heterogeneous machine-to-machine networks

Kadam

Raut²,

Meena³

et al. 2020

Wireless Netw

View full text Add to dashboard Cite

Machine-to-Machine (M2M) networks are an emerging technology with applications in numerous areas including smart grids, smart cities, vehicular telematics, and healthcare. In this paper, we design two estimation protocols for rapidly obtaining separate estimates of the number of active nodes of each traffic type in a heterogeneous M2M network with T types of M2M nodes (e.g., those that send emergency, periodic, normal type data etc), where T ≥ 2 is an arbitrary integer. One of these protocols, Method I, is a simple scheme, and the other, Method II, is more sophisticated and performs better than Method I. Also, we design a medium access control (MAC) protocol that supports multi-channel operation for a heterogeneous M2M network with an arbitrary number of types of M2M nodes, operating as a secondary network using Cognitive Radio technology. Our Cognitive MAC protocol uses the proposed node cardinality estimation protocols to rapidly estimate the number of active nodes of each type in every time frame; these estimates are used to find the optimal contention probabilities to be used in the MAC protocol. We compute a closed form expression for the expected number of time slots required by Method I to execute as well as a simple upper bound on it. Also, we mathematically analyze the performance of the Cognitive MAC protocol and obtain expressions for the expected number of successful contentions per frame and the expected amount of energy consumed. Finally, we evaluate the performances of our proposed estimation protocols and Cognitive MAC protocol using simulations.

show abstract

“…Several survey papers exist in the literature in the context of dynamic spectrum sharing and spectral coexistence covering a wide range of areas such as spectrum occupancy modeling and measurements [29,30], interweave DSS [31,32,34], underlay DSS [35][36][37], overlay DSS [38], MAC protocols for DSS [39], spectrum decision [43], spectrum assignment [44], security for DSS [40], learning for DSS [41,42], DSS under practical imperfections [13], licensed spectrum sharing [61][62][63] IoT, M2M and D2D [64][65][66][67] techniques [45], and the coexistence of LTE and WiFi [46]. Furthermore, the contribution in [37] provided a comprehensive review of radio resource allocation techniques for efficient spectrum sharing based on different design techniques such as transmission power-based versus SINRbased, and centralized versus distributed method, and further provided various requirements for the efficient resource allocation techniques.…”

Section: B Related Workmentioning

confidence: 99%

“…In the direction of energy-efficient 5G communications, authors in [53,54] provided a detailed survey of the existing works in the areas of energy-efficient techniques for 5G networks and analyzed various green trade-offs, namely, spectrum efficiency versus energy efficiency, delay versus power, deployment efficiency versus energy efficiency, and bandwidth versus power for the effective design of energy-efficient 5G networks [53]. In addition, several survey and overview papers exist in the area of 5G enabling technologies such as massive MIMO [7,[55][56][57], mmWave [7,8,58], Non Orthogonal Multiple Access (NOMA) [59,60], cellular and heterogeneous networks [61][62][63], Internet of Things (IoT) [66,68], Machine to Machine (M2M) communication [64][65][66] and Device to Device (D2D) communication [67].…”

Section: B Related Workmentioning

confidence: 99%

Dynamic Spectrum Sharing in 5G Wireless Networks With Full-Duplex Technology: Recent Advances and Research Challenges

Sharma

Bogale

et al. 2018

IEEE Commun. Surv. Tutorials

214

View full text Add to dashboard Cite

Full-Duplex (FD) wireless technology enables a radio to transmit and receive on the same frequency band at the same time, and it is considered to be one of the candidate technologies for the fifth generation (5G) of wireless communications due to its advantages including potential doubling of the capacity, reduced end-to-end and feedback delays, improved network secrecy and efficiency, and starting with a detailed overview of FD-enabled DSS, we provide a comprehensive survey of recent advances in this domain. We then highlight several potential techniques for enabling FD operation in DSS wireless systems. Subsequently, we propose a novel communication framework to enable CST in DSS systems by employing a power control-based SI mitigation scheme and carry out the throughput performance analysis of this proposed framework. Finally, we discuss some open research issues and future directions with the objective of stimulating future research efforts in the emerging FD-enabled DSS wireless systems.

show abstract

A Survey of Enabling Technologies of Low Power and Long Range Machine-to-Machine Communications

Cited by 182 publications

References 70 publications

Secure Caching Scheme by Using Blockchain for Information-Centric Network-Based Wireless Sensor Networks

Secure Caching Scheme by Using Blockchain for Information-Centric Network-Based Wireless Sensor Networks

Fast node cardinality estimation and cognitive MAC protocol design for heterogeneous machine-to-machine networks

Dynamic Spectrum Sharing in 5G Wireless Networks With Full-Duplex Technology: Recent Advances and Research Challenges

Contact Info

Product

Resources

About