Short paper: Study on cognitive radio in IEEE 802.15.4 wireless sensor networks

Wong, Chi-Ming; Hsu, Wen-Pin

doi:10.1109/wf-iot.2014.6803148

Cited by 10 publications

(7 citation statements)

References 2 publications

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“…The preliminary simulation results in section 5B show that using uniform CW produce better performance than non-uniform CW and this inform our choice of uniforms CW over non-uniform CW. By substituting (3) and (4) into (6), it follows that:…”

Section: B Csma Data Transmission Probabilitymentioning

confidence: 99%

A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

Abegunde

Xiao

Spring

2020

IEEE Internet Things J.

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The current trend in developing smart technology for the Internet of Things (IoT) has motivated a lot of research interest in optimising data transmission or minimising energy consumption, but with little evidence of proposals for achieving both objectives in a single model. Using the concept of game theory, we develop a new MAC protocol for IEEE 802.15.4 and IoT networks in which we formulate a novel expression for the players' utility function and establish a stable Nash Equilibrium (NE) for the game. The proposed IEEE 802.15.4 MAC protocol is modelled as a smart game in which analytical expressions are derived for channel access probability, data transmission probability and energy used. These analytical expressions are used in formulating an Optimization Problem (OP) that maximizes data transmission and minimizes energy consumption by nodes. The analysis and simulation results suggest that the proposed scheme is scalable and achieves better performance in terms of data transmission, energy efficiency and longevity, when compared with the default IEEE 802.15.4 access mechanism.

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Section: B Csma Data Transmission Probabilitymentioning

confidence: 99%

A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

Abegunde

Xiao

Spring

2020

IEEE Internet Things J.

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“…WSNs may get benefit of CR to eliminate collision and excessive contention delay incurred by dense deployment of sensor nodes. Hence, recently, investigation of CR-based WSNs received plenty of research interests [17][18][19][20][21]. In [22] the main challenges and principles for delay-sensitive data transport in CRSN were introduced.…”

Section: Related Workmentioning

confidence: 99%

Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks

Piran

Cho

Yun

et al. 2014

International Journal of Distributed Sensor Networks

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Current advancements in vehicular networking lead to amplifying the issue of spectrum scarcity. Cognitive radio (CR) has emerged as the key technology that enables flexible, efficient, and reliable spectrum exploiting by unlicensed networks to use licensed spectrum bands in an opportunistic manner to alleviate the spectrum scarcity issue. We have already proposed vehicular ad hoc and sensor networks (VASNET) as a new networking paradigm for vehicular communication by utilizing wireless sensor nodes in two mobile and stationary modes. The nodes are employed to sense vehicles' activity, for example, car crashes. Like other unlicensed networks, VASNET is supposed to operate over unlicensed spectrum bands. However, due to emergency nature of accident alarms in VASNET that must be received in minimum period of time and avoiding packet loss, in this paper we investigate CR-based VASNET, named as CR-VASNET. Various challenges and issues are discussed in details. In order to save stationary nodes' power and enlarge the network lifetime, an optimization technique for relay node selection is proposed. Furthermore, for primary users (PU) protection, an energy detection-based scheme is suggested to calculate the probability of PU arrival. Our theoretical discussions and simulation results proved the efficient functionality of the proposed CR-VASNET as a promising vehicular networking paradigm.

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“…The fundamental effectiveness of any NOMA scheme is studied by analyzing its result in improving power/energy efficiency, complexity in professional implementation, interference, and power domain multiplexing [6]. So, that is why in our work sensing the available channels energy detection is employed by WSN coordinator during the inactive period of communication as described in [7]. The beacon-enabled IEEE 802.15.4, a superframe which consists of an active portion and an inactive part, starts at the beginning of a beacon frame and ends at the beginning of the next beacon frame.…”

Section: Introductionmentioning

confidence: 99%

SenPUI: Solutions for Sensing and Primary User Interference in Cognitive Radio Implementation of a Wireless Sensor Network

Besher

Hipólito

Vazquez-Briseno

et al. 2019

Wireless Communications and Mobile Computing

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After an introduction of cognitive radio (CR) technology in communication, the hot research topics are sensing, Primary User Interference (PUI), spectrum management, security, spectrum sharing, and environmental sensing. Among the listed, sensing and Primary User Interference are the bold ones. The base query for these two problems lays finding a means for which and what channel at a particular time is available and avoiding interference with Primary Users (PU). This article presents a novel cognitive radio algorithm called SenPUI for both mentioned main challenges, sensing and PUI. First, energy scan during the inactive portion of communication which is dynamic is done. Second, application packet based primary user identification for PUI avoidance is proposed as base solution. Both techniques described in this work are implemented and resulted in a significant reduction of the target problems estimated around 10-30% reduction in average. Main limitations of Wireless Sensor Network (WSN) such as memory, battery lifetime, and size are considered during the design and implementation of our solutions.

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Short paper: Study on cognitive radio in IEEE 802.15.4 wireless sensor networks

Cited by 10 publications

References 2 publications

A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks

SenPUI: Solutions for Sensing and Primary User Interference in Cognitive Radio Implementation of a Wireless Sensor Network

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