ECE: A Novel Performance Evaluation Metric for Clustering Protocols in Cognitive Radio Sensor Networks

Wang, Jihong; Li, Shuo

doi:10.1109/jiot.2020.3019268

Cited by 11 publications

(8 citation statements)

References 7 publications

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“…In this paper, E elec = 50nJ/bit, E fs = 10pJ/bit/m 2 , E mp = 0.0013pJ/bit/m 4 , d 0 = 87.7m. Energy cost of receiving data at the destination is proportional to data packet size l, and it can be computed according to Eq (2).…”

Section: Plos Onementioning

confidence: 99%

“…In cognitive radio sensor networks (CRSNs), cognitive radio technology enables CRSNs nodes to dynamically access licensed spectrum for communication without affecting primary users (PUs), which dramatically improves spectrum efficiency and network surveillance capability [ 1 , 2 ]. In order to improve energy efficiency, CRSNs nodes are usually grouped into different clusters by using certain clustering protocols.…”

Section: Introductionmentioning

confidence: 99%

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Traffic-driven ions motion optimization-based clustering routing protocol for cognitive radio sensor networks

Wang

Hao

et al. 2022

PLoS ONE

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In cognitive radio sensor networks, single clustering protocol cannot simultaneously satisfy the various requirements of time-triggered and event-driven traffic, as a result, different kinds of clustering protocols are designed to serve them separately. In addition, for event-driven traffic, the long delay incurred by clustering and searching for available routes after events results in poor timeliness of information transmission. In order to solve above problems, a traffic-driven ions motion optimization-based clustering routing protocol (TD-IMOCRP) is proposed in this paper. For the first time, time-triggered and event-driven traffic can be served by a single clustering protocol. To be specific, ions motion optimization algorithm is leveraged to automatically determine the optimal number of clusters and form basic clustering structure. In this case, time-triggered traffic can be periodically served. Priority-based schedule and corresponding frame structure are designed to ensure priority delivery of event-driven information. The clustering architecture built for time-triggered traffic is leveraged, and there is no cluster construction and route selection after emergent events. Only the CRSNs nodes which discover emergent events and corresponding CHs participate in data transmission, which means that TD-IMOCRP covers fewer nodes, especially when the sink is located at the corner. Therefore, it can help reduce node energy consumption and delay. Simulation results demonstrate that compared with representative event-driven clustering protocols, TD-IMOCRP can decrease the average number of covered nodes and the total energy consumption by more than 66.3% and 25%, respectively. In addition, when serving time-triggered traffic, TD-IMOCRP can achieve almost the same performance as its basic version IMOCRP which is better than majority of current time-triggered clustering protocols. In a word, TD-IMOCRP can guarantee in-time delivery of event-driven information while guaranteeing its performance of serving time-triggered traffic.

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Section: Plos Onementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Traffic-driven ions motion optimization-based clustering routing protocol for cognitive radio sensor networks

Wang

Hao

et al. 2022

PLoS ONE

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“…However, resource utilization and assignment in a traditional wireless network is typically not ideal. In problem A, most end devices used that an AP with better Received Signal Strength Indication (RSSI) has higher signal quality [5][6][7][8][9]. If many end devices choose an AP based on RSSI in this way, some APs are likely to become overloaded, causing some of the end devices to access APs in a highcontention situation.…”

Section: A Motivationmentioning

confidence: 99%

Towards Adaptive Network Resource Orchestration for Cognitive Radio Networks

Yi-Wei¹,

Yi-Wei²,

Chen³

et al. 2022

Journal of Internet Technology

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<p>This work proposes an adaptive resource orchestration system for a Wireless Local Area Network (WLAN) that is based on the operating principle of Cognitive Radio (CR) technology. By collecting environmental parameters, including the retransmission rate and the channel occupancy rate, the proposed system has “knowledge” of overall transmission behavior and can regulate transmission resources. An Adaptive Connection Assignment (ACA) mechanism is proposed for end devices; it find out target end devices with poor transmission performance, analyzes their alternative Access Point (AP) availability and causes them to change connections to improve transmission performance. An Adaptive Channel Utilization (ACU) mechanism is designed for APs to identify a target AP that is suffering from interference, to analyze its alternative channel availability and to require it to change its working channel to improve transmission efficiency. Results of simulations of various scenarios indicate that the throughput of end devices is increased by 15 to 24%, the throughput of APs is increased by 6 to 47% and the retransmission rate of APs is reduced by 0.4 to 5.3%.</p> <p> </p>

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“…Cognitive radio sensor networks (CRSNs) are intelligent combinations of cognitive radio (CR) technology and wireless sensor networks (WSNs) 1 , in which CRSNs nodes are enabled to opportunistically access the idle spectrum licensed to primary users (PUs) by perceiving the radio spectrum environment 2 . Correspondingly, CRSNs gain obvious advantages in strong universality and high spectral efficiency 3 .…”

Section: Introductionmentioning

confidence: 99%

An imperfect spectrum sensing-based multi-hop clustering routing protocol for cognitive radio sensor networks

Wang

Liu

2023

Sci Rep

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Multi-hop clustering routing protocols are potential solutions to achieve effective and energy-efficient data delivery in cognitive radio sensor networks (CRSNs). Current clustering routing protocols for CRSNs generally assume perfect spectrum sensing, i.e., false alarm and missed detection are ignored, which may result in collisions with primary users and transmission failure or constrained spectrum usage. To alleviate the impact of imperfect spectrum sensing on network performance, an imperfect spectrum sensing-based multi-hop clustering routing protocol (ISSMCRP) is proposed for CRSNs in this paper. Cluster head (CH) and relay selection criteria are defined based on detection level function of available channels to help select CHs and relays with high spectrum sensing capability. Idle detection accuracy-based intra-cluster and inter-cluster channel selection criterion is proposed to promote successful intra-cluster and inter-cluster data delivery. In addition, control overhead introduced by CHs selection and cluster formation is strictly controlled, and reasonable cluster radii are set to manage the range of control information exchange, so as to reduce the energy consumption caused by control overhead. Simulation results show that compared with the existing clustering routing protocols for CRSNs, ISSMCRP gains obvious advantages in expanding the network lifespan and enhancing the network surveillance capability.

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ECE: A Novel Performance Evaluation Metric for Clustering Protocols in Cognitive Radio Sensor Networks

Cited by 11 publications

References 7 publications

Traffic-driven ions motion optimization-based clustering routing protocol for cognitive radio sensor networks

Traffic-driven ions motion optimization-based clustering routing protocol for cognitive radio sensor networks

Towards Adaptive Network Resource Orchestration for Cognitive Radio Networks

An imperfect spectrum sensing-based multi-hop clustering routing protocol for cognitive radio sensor networks

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