A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

Bukhari, Syed Hashim Raza; Rehmani, Mubashir Husain; Siraj, Sajid

doi:10.1109/comst.2015.2504408

Cited by 131 publications

(47 citation statements)

References 150 publications

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“…Constraint in Equation 16 specifies that a sink gathers the data from its member sensors in each round in the network.…”

Section: Routing Mechanismmentioning

confidence: 99%

“…This makes them to be a part of the strategic decision-makers and flexible problem-solvers in the technical complexity that might even create entirely new manufacturing concepts. 15 In smart grid industry (SGI) 4.0, a wide range of existing and anticipated wireless sensor networks (WSNs)-based smart grid applications are given in the work of Bukhari et al 16 In the fourth-generation global marketplace, all these SG applications provide a vying edge, leading to new products and services for improving the ordinary citizens day-to-day lives. However, the realization of these applications leans on efficient and reliable communication architecture proficiencies deployed in the SG.…”

mentioning

confidence: 99%

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Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

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Recently, the advences of Industry 4.0 have paved the way for a systematical deployment of the smart grid (SG) to manage continuously growing energy demand of the 21st century. This even allows the fourth stage of the industrial revolution in the power sector, which is known as the smart grid industry (SGI) 4.0. In SGI 4.0, the industrial wireless sensor networks (WSNs) and the Internet of Things are envisioned as key promising communication technologies for monitoring various SG applications due to their large-scale coverage, fault tolerance characteristics, and cost reduction. However, highly dynamic nature of the SG environments brings several unique challenges caused by systems and operating devices. This results in hampering the quality-of-service communication requirements for WSNs-based SG applications. In SGI 4.0, the routing infrastructure not only requires a reliable but also fulfills the communication requirements of diverse SG applications. Thus, a sophisticated, reliable and QoS-aware multi-hop communications network architecture enabling a real-time exchange of data for various WSNs-based SG applications is essential in SGI 4.0. Hence, this paper proposes a novel bio-inspired self-optimized butterfly mating optimization-based data gathering routing scheme called Self-optimized Intelligent routing protocol (SIRP) for WSNs-based SG applications. The extensive simulations reveal that the proposed scheme achieves its defined goals compared to existing routing schemes designed for WSNs-based applications.Trans Emerging Tel Tech. 2019;30:e3503.wileyonlinelibrary.com/journal/ett streamline management operations are connected using wired networks working over industrial protocols in traditional factories. However, compared with a wired network, the wireless networking solution plays a complementary role to empower control and management competencies of the factory elements in I 4.0. To this end, industrial wireless sensor networks (IWSNs) are envisioned as a valuable technology to realize the vision of I 4.0 because of their low-cost sensing, identifying, processing, and networking capabilities. The IWSNs provide physical industry world information to a user located in a remote location to realize distinct objectives. 10,11 The fundamental characteristics of IWSN-based networking solution in I 4.0 is to provide least maintenance cost by avoiding excessive breakdowns in a defined time interval for enabling smart production reliability and increasing economic benefits. Therefore, IWSN, with these aims, has revealed its prominence in various industrial applications, including modern agriculture, transportation, steel mills, healthcare systems, area surveillance, gas and oil industry, and many others. 12,13 The quality-of-service (QoS)-aware cooperative multihop communication in IoT-enabled smart grid (SG) is highly dependent on a number of performance metrics like coverage, scalability, stability, latency, lifetime, and complexity of the network. In IoT-enabled SG, IWSNs through IoT connect various industrial ...

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“…Constraint in Equation 16 specifies that a sink gathers the data from its member sensors in each round in the network.…”

Section: Routing Mechanismmentioning

confidence: 99%

mentioning

confidence: 99%

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

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“…In addition to 5G and HF communications, there are many other potential applications of spectrum inference for various future wireless networks, such as cognitive smart grid networks (CSGN) [269], [270], cognitive radio sensor networks (CRSN) [271]- [274], cognitive cellular networks (CCN) [275]- [277], and cognitive machine-to-machine communications (CM2M) [278].…”

Section: G Other Use Cases: the Applications Of Spectrum Inference Fmentioning

confidence: 99%

“…2016 [39] A survey of recent advances in resource allocation techniques and the CR networks architectural design. 2016 [40] A survey of channel bonding schemes for traditional wireless networks and a detailed discussion on the channel bonding schemes proposed for CRNs. 2017 [41] A survey for resource allocation in underlay CRNs.…”

Section: Spectrum Sensingmentioning

confidence: 99%

Spectrum Inference in Cognitive Radio Networks: Algorithms and Applications

Ding

Jiao

Wang

et al. 2018

IEEE Commun. Surv. Tutorials

159

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Abstract-Spectrum inference, also known as spectrum prediction in the literature, is a promising technique of inferring the occupied/free state of radio spectrum from already known/measured spectrum occupancy statistics by effectively exploiting the inherent correlations among them. In the past few years, spectrum inference has gained increasing attention owing to its wide applications in cognitive radio networks (CRNs), ranging from adaptive spectrum sensing, and predictive spectrum mobility, to dynamic spectrum access and smart topology control, to name just a few. In this paper, we provide a comprehensive survey and tutorial on the recent advances in spectrum inference. Specifically, we first present the preliminaries of spectrum inference, including the sources of spectrum occupancy statistics, the models of spectrum usage, and characterize the predictability of spectrum state evolution. By introducing the taxonomy of spectrum inference from a time-frequency-space perspective, we offer an in-depth tutorial on the existing algorithms. Furthermore, we provide a comparative analysis of various spectrum inference algorithms and discuss the metrics of evaluating the efficiency of spectrum inference. We also portray the various potential applications of spectrum inference in CRNs and beyond, with an outlook to the 5th generation mobile communications (5G) and next generation high frequency (HF) communications systems. Last but not least, we highlight the critical research challenges and open issues ahead.

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“…The uncontrolled WSNs security is a double defect: one is data deterioration and second is losing power consumption in transmission of designated infected data. Consequently, security in WSNs-based CR is a prominent issue that has been considered in [8,[17][18][19][20][21].One of the eminent techniques utilized in the literature to handle the security problem in WSNs is game theory [22][23][24][25][26]. Game theory is a special optimization branch which tackles the interaction among a set of rational intelligent users that aim to enhance their individual gains in an intelligent and adaptive way [27].…”

mentioning

confidence: 99%

Employing Game Theory and TDMA Protocol to Enhance Security and Manage Power Consumption in WSNs-Based Cognitive Radio

Abdalzaher

Muta

2019

IEEE Access

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The rapid development of wireless sensor networks (WSNs) is the significant incentive to contribute in the vulnerable applications such as cognitive radio (CR). This paper proposes a Stackelberg game approach to enhance the WSN-based CR security against the spectrum sensing data falsification (SSDF) attack and conserve the consequent lost power consumption. The attack aims to corrupt the spectrum decision by imposing interference power to the delivered reports from the sensor nodes (SNs) to the fusion center (FC) to make a protection level below a specific threshold. The proposed model utilizes the intelligent Stackelberg game features along with the matched filter (MF) to maximize the number of protected reports sent by the SNs to the FC leading to accurate decision of the spectrum status. Furthermore, the TDMA protocol is utilized to resolve the complexity of employing MF for the spectrum detection to avoid the collision between the delivered reports. The proposed model aims to enhance the number of correctly received reports at the FC, and hence manage the lost energy of reports retransmission due to the malicious attack effect. Moreover, the model can conserve the lost power of the failure communication attempts due to the SSDF attack impact. Simulation results indicate the improved performance of the proposed protection model along with the MF over the six different environments against the SSDF attack as compared to two defense schemes, namely, random and equal weight defense strategies.In this regard, secured WSNs can dramatically contribute in CR networks (CRNs) as the fusion center (FC) needs to rely on distributed sensor nodes (SNs) to sense the spectrum status. In other words, WSNs suffer from security and power management problems specially in harsh environments. The uncontrolled WSNs security is a double defect: one is data deterioration and second is losing power consumption in transmission of designated infected data. Consequently, security in WSNs-based CR is a prominent issue that has been considered in [8,[17][18][19][20][21].One of the eminent techniques utilized in the literature to handle the security problem in WSNs is game theory [22][23][24][25][26]. Game theory is a special optimization branch which tackles the interaction among a set of rational intelligent users that aim to enhance their individual gains in an intelligent and adaptive way [27]. To this end, three main dependent challenges affecting a smooth operation for CR are spectrum sensing, mitigating security threats, and the consequent lost energy. One of the security threats in CRNs is spectrum sensing data falsification (SSDF) attack [28]. Here, the defender represents the FC. Therefore, the whole communication system in such CRN can be strictly disrupted and the network performance will be steeply degraded. In addition, this attack can disrupt the delivered reports at the FC, and hence, a wrong decision will be taken by the FC about the spectrum status. Moreover, it does not only reduce the number of correctly received reports...

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A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

Cited by 131 publications

References 150 publications

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Spectrum Inference in Cognitive Radio Networks: Algorithms and Applications

Employing Game Theory and TDMA Protocol to Enhance Security and Manage Power Consumption in WSNs-Based Cognitive Radio

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