TIGHT: A Geographic Routing Protocol for Cognitive Radio Mobile Ad Hoc Networks

Jin, Xiaocong; Zhang, Rui; Sun, Jing; Zhang, Yanchao

doi:10.1109/twc.2014.2320950

Cited by 44 publications

(44 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is known fact that the availability of spectrum is dynamic, due to this the rerouting will increase in [33] which causes degradation of route performance. Geographic routing protocol is proposed in [34] where secondary user will choose an optimal path which is shortest in distance to destination. This algorithm will perform well in sparse applications where there is less activity of primary users but it will behave poorly in applications where the availability of spectrum is dynamic.…”

Section: A Routing On Demand In Cdnsmentioning

confidence: 99%

Quality and Availability of spectrum based routing for Cognitive radio enabled IoT networks

Kaushik

Yoganandam

Sahoo

2018

JCOMSS

View full text Add to dashboard Cite

Abstract-With the recent emergence and its wide spread applicability Internet of Things (IoT) is placing pressure on network resources and most importantly on availability of spectrum. Spectrum scarcity is the issue to be addressed in networking within IoT. Cognitive radio is the technology which addresses the problem of spectrum scarcity in an efficient way. Equipping the IoT devices with cognitive radio capability will lead to a new dimension called cognitive radio enabled IoT devices. To achieve ON-demand IoT solutions and interference free communications cognitive radio enabled IoT devices will become an effective platform for many applications. As there is high dynamicity in availability of spectrum it is challenging for designing an efficient routing protocol for secondary users in cognitive device networks. In this work we are going to estimate spectrum quality and spectrum availability based on two parameters called global information about spectrum usage and instant spectrum status information. Enhanced energy detector is used at each and every node for better probability of detection. For estimating spectrum quality and availability we are introducing novel routing metrics. To have restriction on the number of rerouting and to increase the performance of routing in our proposed routing metric only one retransmission is allowed. Then, two algorithms for routing are designed for evaluating the performance of routing and we find that the bit error rates of proposed algorithms (nodes are dynamic) have decreased a lot when compared to conventional methods (nodes are static) and throughput of proposed algorithm also improved a lot.

show abstract

Section: A Routing On Demand In Cdnsmentioning

confidence: 99%

Quality and Availability of spectrum based routing for Cognitive radio enabled IoT networks

Kaushik

Yoganandam

Sahoo

2018

JCOMSS

View full text Add to dashboard Cite

show abstract

“…Xiaocong Jin (2014), [5] focused on the geographic routing protocol named as "TIGHT" used for radio mobile ad hoc networks. This proposed approach offers primary user and secondary users in which secondary users can use the whole channel without affecting the primary users in a network.…”

Section: Prosenjit Bose (2001)mentioning

confidence: 99%

A Review On Recent Routing Protocols In Field Of Wireless Communication

Ranii¹

2017

IJRASET

View full text Add to dashboard Cite

Routing is used to find the shortest distance between the different nodes from source to destination. Routing is basically used to find the efficient path to send the packets from source to destination. In the traditional technique, the main focus was on the distance. But as the time passes, so many issues took place which becomes a hindrance for achieving efficient routing in WSN. This study provides an overview to the concept of routing. The type of routing is also discussed under this in section 1. Section 2 represents the various issues and challenges that falls on the way to achieve effective route for data transfer. Section 3 represents the concept of trust based routing, in which all the trust models are defined in brief along with their pros and cons. Section 4 represents the work that already had been done in this work. Section 5 is winding up of the study by presenting the whole research in brief.

show abstract

“…Dedicated survey on CSNs can be found in references [10,21]. As for routing issues in CSNs, numerous approaches have been proposed [20,[22][23][24][25][26][27][28] by using various of routing metrics. Technically, opportunistic routing and on-demand routing are the two routing categories in CSNs.…”

Section: Related Workmentioning

confidence: 99%

“…As we know that due to the dynamic availability of each spectrum channel and the absence of the above consideration, in MaxPos the number of rerouting is large, thus causing decreased route performance. Jin et al [23] designed the geographic routing protocol (TIGHT), where the source SU chooses the optimal path with the shortest distance to the destination along the boundary of PU regions to avoid the interference with PUs. In sparse applications with less PUs' activities, TIGHT performs well, but achieves poorly in the high dynamic spectrum-availability applications.…”

Section: On-demand Routing In Csnsmentioning

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

TIGHT: A Geographic Routing Protocol for Cognitive Radio Mobile Ad Hoc Networks

Cited by 44 publications

References 23 publications

Quality and Availability of spectrum based routing for Cognitive radio enabled IoT networks

Quality and Availability of spectrum based routing for Cognitive radio enabled IoT networks

A Review On Recent Routing Protocols In Field Of Wireless Communication

Spectrum-Availability Based Routing for Cognitive Sensor Networks

Contact Info

Product

Resources

About