Source Routing for Distributed Big Data‐Based Cognitive Internet of Things (CIoT)

Begum, Seema; Yao, Nianmin; Shah, Syed Bilal Hussian; Abdollahi, Asrin; Khan, Inam Ullah; Nawaf, Liqaa

doi:10.1155/2021/5129396

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…Reactive methods can be more proper solutions in dynamic networks such as cognitive radio networks and IoT. 9,17,20 AODV routing protocol is intended for mobile users in ad-hoc networks and it offers quick adaptation to dynamic wireless environment conditions. These features of the AODV protocol are well suited for cognitive radio networks.…”

Section: The Cognitive Radio Network and Simulation Environmentmentioning

confidence: 99%

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An effective routing algorithm for spectrum allocations in cognitive radio based internet of things

Ci̇ci̇oğlu

Çalhan

Miah

2022

Concurrency and Computation

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The Internet of Things (IoT) concept increases the spectrum demands of mobile users in wireless communications because of the intensive and heterogeneous structure of IoT. Various devices are joining IoT networks every day, and spectrum scarcity may be a crucial issue for IoT environments in the near future. Cognitive radio (CR) is capable of sensing and detecting spectrum holes. With the aim of CR, more powerful IoT devices will be constructed in such crowded wireless environments. Also, dynamic and ad-hoc CR networks have not a fixed base station. Therefore, CR capable IoT (CR-based IoT) device approach with routing capabilities will be a solution for future IoT environments. In this study, spectrum aware Ad hoc on-demand distance vector routing protocol is proposed for CR-based IoT devices in IoT environments. For the performance analysis of the proposed method, various network scenarios with different idle probability have been performed and throughput and delay results for different offered loads have been analyzed. K E Y W O R D Scognitive radio, internet of things, routing protocol, wireless networks INTRODUCTIONInternet of Thing (IoT) networks have different application areas and also have similar specifications. The basic similarity is having IP addresses on a specific spectrum band. The IoT devices can access the internet with a dedicated spectrum. In spectrum bands, there are two types of licensed and unlicensed users. The licensed users have the authorization to access the spectrum by paying a fee and they are called primary users (PUs). They have the right and priority to access to licensed spectrum whenever they want. The unlicensed users do not have not the authorization to access the licensed spectrum but they have advanced equipment for scanning the spectrum for holes and they are called secondary users (SUs). As can be seen from the literature, 1-3 the IoT users can be capable of CR capabilities and hence they can sense the overall spectrum for wireless transmissions.The CR networks can be constructed as infrastructure or ad-hoc manner as classical networks. 4,5 The base stations play important roles and they are required for control and transmissions in the infrastructure networks. Ad-hoc networks do not have base stations or access points for a central control mechanism. Each device in an ad-hoc network has routing information for packet transmissions. IoT devices can communicate with their neighbors periodically or on-demand in ad-hoc CR networks. Various parameters are taken into account for calculating effective routes to the destination. The routing parameters are signal-to-noise ratio (SNR), received signal strength indicator (RSSI), bit error rate (BER), bandwidth, utilization and so on. In addition to the aforementioned parameters, specific parameters must be considered in ad-hoc CR networks as required.The most important duty in CR networks is to determine the presence of licensed users in the spectrum. 6 Besides, it should be taken into account the unlicensed and licensed spectrum usa...

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Section: The Cognitive Radio Network and Simulation Environmentmentioning

confidence: 99%

“…Ad hoc on‐demand distance vector (AODV) and dynamic source routing (DSR) are the reactive methods. Reactive methods can be more proper solutions in dynamic networks such as cognitive radio networks and IoT 9,17,20 …”

Section: The Cognitive Radio Network and Simulation Environmentmentioning

confidence: 99%

An effective routing algorithm for spectrum allocations in cognitive radio based internet of things

Ci̇ci̇oğlu

Çalhan

Miah

2022

Concurrency and Computation

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“…The development of Internet of Things was from various regions, industries and applications simultaneously. The cognitive network and the cognitive computing can be incorporated to the IoT, which can form Cognitive Internet of Things (CIoT) [21,22,23,24,25,26]. By merging the edge computing vision [27,28] as well as cognitive services which is based on artificial intelligence, a new idea named edge cognitive computing [29] came into existence.…”

Section: Introductionmentioning

confidence: 99%

Developmental Proposal of a Generic Architecture for Cognitive Internet of Things

Jose,

Mathew

2022

IJSRCSE

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Cognitive science is developing in a faster pace and finding applications in science and technology. A cognitive network is a communication network that uses cognitive processes to understand present situations, make decisions based on its findings and take feedback from those decisions to take corrective actions. Cognitive computing uses computer models for simulating the human thought process. The Internet of Things (IoT) consists of "Things" which are networked for computation to take actions accordingly. The development of a cognitive network as well as that of cognitive computing can lead to the development of IoT that is cognitive. In this paper, we propose an architecture for cognitive IoT that is derived from cognitive network and cognitive computing.

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Secure Communication Routing in FANETs: A Survey

Ahmad

Hassan

2022

Studies in Computational Intelligence

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Source Routing for Distributed Big Data‐Based Cognitive Internet of Things (CIoT)

Cited by 5 publications

References 33 publications

An effective routing algorithm for spectrum allocations in cognitive radio based internet of things

An effective routing algorithm for spectrum allocations in cognitive radio based internet of things

Developmental Proposal of a Generic Architecture for Cognitive Internet of Things

Secure Communication Routing in FANETs: A Survey

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