Oyewobi, SSHancke, GPAbu-Mahfouz, Adnan MIOnumanyi, Adeiza J2019-10-042019-10-042019-08Oyewobi, S.S., Hancke, G.P., Abu-Mahfouz, A.M.I., and Onumanyi, A.J. 2019. A delay-aware spectrum handoff scheme for prioritized time-critical industrial applications with channel selection strategy. Computer Communications, v.144, pp 112-113.0140-36641873-703Xhttps://www.sciencedirect.com/science/article/pii/S0140366418307369tps://doi.org/10.1016/j.comcom.2019.05.003http://hdl.handle.net/10204/11149Copyright: 2019 Elsevier. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website.Cognitive radio has emerged as an enabling technology in the realization of a spectrum-efficient and delay-sensitive industrial wireless communication where nodes are capable of responding in real-time. However, particularly for time-critical industrial applications, because of the link-varying channel capacity, the random arrival of a primary user (PU), and the significant delay caused by spectrum handoff (SH), it is challenging to realize a seamless real-time response which results in a quality of service (QoS) degradation. Therefore, the objectives of this paper is to increase spectrum utilization efficiency by allocating channel based on the priority of a user QoS requirements, to reduce SH delay, to minimize latency by preventing avoidable SHs, and to provide real-time response. To achieve an effective spectrum utilization, we proposed an integrated preemptive/non-preemptive priority scheme to allocate channels according to the priority of user QoS requirements. On the other hand, to avoid significant SH delays and substantial latency resulting from random PU arrival, a unified spectrum sensing technique was developed by integrating proactive sensing and the likelihood estimation technique to differentiate between a hidden and a co-existence PU, and to estimate the mean value of the busy and the idle periods of a channel respectively. Similarly, to prevent poor quality channel selection, a channel selection technique that jointly combines a reward system that uses metrics, e.g. interference range, and availability of a common channel to ranks a set of potential target channels, and a cost function that optimizes the probability of selecting the channel with the best characteristics as candidate channels for opportunistic transmission and for handoffs was developed. The simulation results show a significant performance gain of the delay-PritSHS in terms of number of SHs, Latency, as well as throughput for time-critical industrial applications in comparison to other schemes.enChannel conditionChannel selection strategyCognitive radioDynamic spectrum accessIndustrial wireless sensor networkOverheadSpectrum handoffArticleOyewobi, S., Hancke, G., Abu-Mahfouz, A. M., & Onumanyi, A. (2019). A delay-aware spectrum handoff scheme for prioritized time-critical industrial applications with channel selection strategy. http://hdl.handle.net/10204/11149Oyewobi, SS, GP Hancke, Adnan MI Abu-Mahfouz, and AJ Onumanyi "A delay-aware spectrum handoff scheme for prioritized time-critical industrial applications with channel selection strategy." (2019) http://hdl.handle.net/10204/11149Oyewobi S, Hancke G, Abu-Mahfouz AM, Onumanyi A. A delay-aware spectrum handoff scheme for prioritized time-critical industrial applications with channel selection strategy. 2019; http://hdl.handle.net/10204/11149.TY - Article AU - Oyewobi, SS AU - Hancke, GP AU - Abu-Mahfouz, Adnan MI AU - Onumanyi, AJ AB - Cognitive radio has emerged as an enabling technology in the realization of a spectrum-efficient and delay-sensitive industrial wireless communication where nodes are capable of responding in real-time. However, particularly for time-critical industrial applications, because of the link-varying channel capacity, the random arrival of a primary user (PU), and the significant delay caused by spectrum handoff (SH), it is challenging to realize a seamless real-time response which results in a quality of service (QoS) degradation. Therefore, the objectives of this paper is to increase spectrum utilization efficiency by allocating channel based on the priority of a user QoS requirements, to reduce SH delay, to minimize latency by preventing avoidable SHs, and to provide real-time response. To achieve an effective spectrum utilization, we proposed an integrated preemptive/non-preemptive priority scheme to allocate channels according to the priority of user QoS requirements. On the other hand, to avoid significant SH delays and substantial latency resulting from random PU arrival, a unified spectrum sensing technique was developed by integrating proactive sensing and the likelihood estimation technique to differentiate between a hidden and a co-existence PU, and to estimate the mean value of the busy and the idle periods of a channel respectively. Similarly, to prevent poor quality channel selection, a channel selection technique that jointly combines a reward system that uses metrics, e.g. interference range, and availability of a common channel to ranks a set of potential target channels, and a cost function that optimizes the probability of selecting the channel with the best characteristics as candidate channels for opportunistic transmission and for handoffs was developed. The simulation results show a significant performance gain of the delay-PritSHS in terms of number of SHs, Latency, as well as throughput for time-critical industrial applications in comparison to other schemes. DA - 2019-08 DB - ResearchSpace DP - CSIR KW - Channel condition KW - Channel selection strategy KW - Cognitive radio KW - Dynamic spectrum access KW - Industrial wireless sensor network KW - Overhead KW - Spectrum handoff LK - https://researchspace.csir.co.za PY - 2019 SM - 0140-3664 SM - 1873-703X T1 - A delay-aware spectrum handoff scheme for prioritized time-critical industrial applications with channel selection strategy TI - A delay-aware spectrum handoff scheme for prioritized time-critical industrial applications with channel selection strategy UR - http://hdl.handle.net/10204/11149 ER -