A Dynamic Spectrum Access Strategy Based on Real-Time Usability in Cognitive Radio Sensor Networks

Conference Paper · December 2011with6 Reads
DOI: 10.1109/MSN.2011.3 · Source: DBLP
Conference: Seventh International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011, Beijing, China, December 16-18, 2011
Abstract

Currently, Wireless Sensor Networks (WSN) mostly operate on the fixed and unlicensed Industrial, Scientific and Medical (ISM) spectrum. With the increasing spectrum shortage in WSN, the Cognitive Radio Sensor Networks (CRSN) is proposed to employ the Cognitive Radio (CR) technology to utilize the spectrum resources dynamically (i.e., Dynamic Spectrum Access, DSA). However, it's a challenge to increase the delivery rate and the throughput in the CRSN because of the power and process restrictions. In this paper, with the consideration of the spectrum idle condition and communication capability, a novel DSA strategy based on the Real-time Usability (DSARU) is presented. And the energy-saving updating algorithm of the spectrum real-time usability is proposed to sense the spectrum changes. Based on the IEEE 802.15.4, DSARU simulation model and experiment system are set up to evaluate the transmission performances. Both simulation and experiment results demonstrate that the DSARU strategy can efficiently increase the delivery rate and throughput, especially under the condition of spectrum interference.

    • "It is imperative to mention here that the literature schemes, which consider only energy minimization of spectrum sen- sors [9], [10], [15], [20] rather than channel available time maximization are inapplicable in HCRSN. Furthermore, unlike existing solutions that separately consider channels allocation [21] [22] and power control [23] [24], the proposed solution jointly allocates time, frequency and power to data sensors; hence, improve the energy efficiency of data sensors. The remainder of this paper is organized as follows. "
    [Show abstract] [Hide abstract] ABSTRACT: The incorporation of Cognitive Radio (CR) and Energy Harvesting (EH) capabilities in wireless sensor networks enables spectrum and energy efficient heterogeneous cognitive radio sensor networks (HCRSNs). The new networking paradigm of HCRSNs consists of EH-enabled spectrum sensors and battery powered data sensors. Spectrum sensors can cooperatively scan the licensed spectrum for available channels, while data sensors monitor an area of interest and transmit sensed data to the sink over those channels. In this work, we propose a resource allocation solution for the HCRSN to achieve the sustainability of spectrum sensors and conserve energy of data sensors. The proposed solution is achieved by two algorithms that operate in tandem, a spectrum sensor scheduling algorithm and a data sensor resource allocation algorithm. The spectrum sensor scheduling algorithm allocates channels to spectrum sensors such that the average detected available time for the channels is maximized, while the EH dynamics are considered and PU transmissions are protected. The data sensor resource allocation algorithm allocates the transmission time, power and channels such that the energy consumption of the data sensors is minimized. Extensive simulation results demonstrate that the energy consumption of the data sensors can be significantly reduced while maintaining the sustainability of the spectrum sensors.
    Preview · Article · Apr 2016 · IEEE Transactions on Vehicular Technology
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    • "In [59], the authors propose a spectrum allocation scheme for CRSNs called DSARU to increase the network throughput in spectrum interference environment and guarantee fair spectrum access. In the design of this strategy, the idle conditions and the communication capabilities of the spectrum have been taken into consideration. "
    [Show abstract] [Hide abstract] ABSTRACT: Wireless sensor networks (WSNs) use the unlicensed industrial, scientific, and medical (ISM) band for transmissions. However, with the increasing usage and demand of these networks, the currently available ISM band does not suffice for their transmissions. This spectrum insufficiency problem has been overcome by incorporating the opportunistic spectrum access capability of cognitive radio (CR) into the existing WSN, thus giving birth to CR sensor networks (CRSNs). The sensor nodes in CRSNs depend on power sources that have limited power supply capabilities. Therefore, advanced and intelligent radio resource allocation schemes are very essential to perform dynamic and efficient spectrum allocation among sensor nodes and to optimize the energy consumption of each individual node in the network. Radio resource allocation schemes aim to ensure QoS guarantee, maximize the network lifetime, reduce the internode and internetwork interferences, etc. In this paper, we present a survey of the recent advances in radio resource allocation in CRSNs. Radio resource allocation schemes in CRSNs are classified into three major categories, i.e., centralized, cluster-based, and distributed. The schemes are further divided into several classes on the basis of performance optimization criteria that include energy efficiency, throughput maximization, QoS assurance, interference avoidance, fairness and priority consideration, and hand-off reduction. An insight into the related issues and challenges is provided, and future research directions are clearly identified.
    Full-text · Article · Apr 2015 · IEEE Communications Surveys & Tutorials
    0Comments 7Citations
    • "In [59], the authors propose a spectrum allocation scheme for CRSNs called DSARU to increase the network throughput in spectrum interference environment and guarantee fair spectrum access. In the design of this strategy, the idle conditions and the communication capabilities of the spectrum have been taken into consideration. "
    Full-text · Article · Jan 2015 · IEEE Communications Surveys & Tutorials
    0Comments 3Citations
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