Interference aware shortest route selection in energy constrained cognitive radio ad-hoc networks

Doomari, Soodeh Amiri; Mirjalily, Ghasem

doi:10.1109/icspis.2016.7869905

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…Similar to CRP [93], but in a static environment, the route discovery in [109] is performed based on nodes' geographical locations. The objective is to reduce the end-to-end delay and energy consumption by restricting the number of downstream nodes participating in the route discovery process.…”

Section: ) Static Crnsmentioning

confidence: 99%

A Survey on Routing Protocols for Delay and Energy-Constrained Cognitive Radio Networks

2020

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The ever-growing demand for higher network data rates, lower delay, and conservative energy consumption at reduced costs, to support Internet-of-things (IoT) communications, has pushed wireless technologies into a new frontier. The growing demand for such technologies can be attributed to several factors, such as the massive number of the upcoming bandwidth-hungry IoT applications and the enormous number ofoften battery-powereddevices expected to connect to the network. Cognitive Radio Networks (CRNs) can play a significant role in future generations of mobile-communication technologies by providing dynamic access to underutilized licensed bands. However, battery-operated devices, which communicate delay-sensitive data over multihop links, impose serious energy-delay limits. In such CRN-based IoT communications, as one device depletes its energy, network disconnectivity may arise, which can degrade the network efficiency. Therefore, building a reactive routing protocol to recover from any sudden link breakage is necessary to maintain prolonged network connectivity. This paper provides a comprehensive survey of CRN routing protocols that are based on two essential metrics, namely, packet delay, energy consumption, or both, while excluding all other CRN routing protocols. The survey is meant to support the designers of future CRN-based IoT communication frameworks with a detailed comparative survey, which targets the most relevant proposed routing protocols, including the specifics of the routing metrics, implemented spectrum awareness strategy, and employed medium-access control standard along with the simulator tool used for performance evaluation. In addition, this survey finds that the majority of cognitive radio routing protocols address either delay or energy consumption, but only a few consider a joint delay-energy metric, which suits delay-sensitive IoT applications running on energy-constrained devices. INDEX TERMSCognitive Radio, Delay, Energy, Internet-of-things, Routing, Sensor Network I. INTRODUCTIONThe rapid expansion of wireless devices has enabled the extensive use of various real-time applications. Some of these applications serve classified information for the military, while others serve the civil defense, fire systems, healthcare, home appliances, and e-commerce transactions. Several applications serve multimedia communications such as video conferencing, Internet telephony, and chatting, while others serve online gaming and entertainment communications. Some of these applications have delay and energy constraints due to the urgency of the carried information and the energy-limited devices used. Users of such applications often seek to avoid service disruption and depletion of their device battery whileat the same timeassuring immediate information transfer at a high delivery rate.The Internet-of-things (IoT) paradigm [1] [2] enables the interaction between devices from several application domains that includebut not limited to mobile phones, routers, game consoles, printers, pacemakers, telepho...

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Section: ) Static Crnsmentioning

confidence: 99%

A Survey on Routing Protocols for Delay and Energy-Constrained Cognitive Radio Networks

2020

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“…Although, the proposed scheme in Kamruzzaman et al can balance the energy consumption and is able to reduce the routing overhead, it does not consider the problems of aggregate interference from SUs to PUs and the route stability. Doomari and Mirjalily proposes an interference aware routing algorithm for energy constrained CRAHNs that considers load balancing to improve the survivability of the nodes. This paper considers the area of overlap between coverage areas of the SUs and PUs as a new routing metric.…”

Section: Related Workmentioning

confidence: 99%

Joint load balanced stable routing and communication segment assignment in mobile cognitive radio ad‐hoc networks

Amiri-Doomari

Mirjalily

Abouei

2018

Int J Communication

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Summary The fundamental issues in mobile cognitive radio ad‐hoc networks are the selection of the optimal stable paths between nodes and proper assignment of the frequency channels/time slots (communication segments) to the links. In this paper, a joint load balanced stable routing and communication segment assignment algorithm is proposed that considers jointly the mobility prediction, mitigating the co‐channel interference and energy consumption. The novelty of the proposed algorithm lies in the increasing of the path stability, which benefits from the maximum link lifetime parameter and introduced weighting function to keep routes away from the PU's region. This avoids the negative impacts on the PUs' operations and decreases the conflict of the cognitive nodes. In the proposed algorithm, the concept of load balancing is considered that yields in the balancing energy consumption in the network, improving the network performance and distributing traffic loads on all available channels. The effectiveness of the proposed algorithm is verified by evaluating the aggregate interference energy, average end‐to‐end delay, goodput, and the energy usage per packet under 6 scenarios. The results show that the performance of the proposed algorithm is significantly better than the recently proposed joint stable routing and channel assignment protocol.

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“…However, there are a number of issues (Sengupta & Subbalakshmi, 2013) that still require attention in multi-hop CRWMNs routing. Related work in CRAHNs focused on routing techniques such as joint routing and channel switching (Meghanathan & Fanuel, 2015), joint next-hop and channel selection routing, interference-aware routing (Doomari & Mirjalily, 2016), stability-based spectrum-aware routing (An, 2014), and location-aided spectrum-aware routing (Yadav & Mane, 2015). However, our work focuses on path selection, spectrum-awareness, and spectrum-mobility in the presence of PU.…”

Section: Related Workmentioning

confidence: 99%

A model to improve the routing performance of Cognitive Radio Wireless Mesh Networks

Kola

Velempini

2017

SACJ

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The increasing demand for broadband wireless technologies has led to the scarcity, inefficient utilization, and underutilization of the spectrum. The Cognitive Radio (CR) technology has emerged as the promising solution which improves the utilization of the spectrum. However, routing is a challenge due to the dynamic nature of the CR networks. The link quality varies in space and time as nodes join and leave the network. The network connectivity is intermittent due to node mobility and the activities of the primary user. The spectrum aware, spectrum agile, and interference aware routing protocols are vital for the sturdiness of the network and efficient utilization of the resources. We propose an interference aware, spectrum aware, and agile extended Weighted Cumulative Expected Transmission Time (xWCETT) routing protocol. The protocol integrates the features of the Ad-hoc On-demand Distance Vector (AODV) and the weighted cumulative expected transmission time (WCETT) routing protocols. The xWCETT was simulated using the Network Simulator 2 and its performance compared with the AODV and the WCETT routing protocols. The xWCETT was evaluated with respect to quality of service related metrics and the results show that it outperformed the AODV and WCETT routing protocols.

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Interference aware shortest route selection in energy constrained cognitive radio ad-hoc networks

Cited by 5 publications

References 13 publications

A Survey on Routing Protocols for Delay and Energy-Constrained Cognitive Radio Networks

A Survey on Routing Protocols for Delay and Energy-Constrained Cognitive Radio Networks

Joint load balanced stable routing and communication segment assignment in mobile cognitive radio ad‐hoc networks

A model to improve the routing performance of Cognitive Radio Wireless Mesh Networks

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