4 research outputs found
Performance analysis of priority queueing systems in discrete time
The integration of different types of traffic in packet-based networks spawns the need for traffic differentiation. In this tutorial paper, we present some analytical techniques to tackle discrete-time queueing systems with priority scheduling. We investigate both preemptive (resume and repeat) and non-preemptive priority scheduling disciplines. Two classes of traffic are considered, high-priority and low-priority traffic, which both generate variable-length packets. A probability generating functions approach leads to performance measures such as moments of system contents and packet delays of both classes
Internet of Harvester Nano Things: A Future Prospects
The advancements in nanotechnology, material science, and electrical
engineering have shrunk the sizes of electronic devices down to the
micro/nanoscale. This brings the opportunity of developing the Internet of Nano
Things (IoNT), an extension of the Internet of Things (IoT). With nanodevices,
numerous new possibilities emerge in the biomedical, military fields, and
industrial products. However, a continuous energy supply is needed for these
devices to work. At the micro/nanoscale, batteries cannot supply this demand
due to size limitations and the limited energy contained in the batteries.
Internet of Harvester Nano Things (IoHNT), a concept of Energy Harvesting (EH),
which converts the existing different energy sources, which otherwise would be
dissipated to waste, into electrical energy via electrical generators. Sources
for EH are abundant, from sunlight, sound, water, and airflow to living
organisms. IoHNT methods are significant assets to ensure the proper operation
of the IoNT; thus, in this review, we comprehensively investigate the most
useful energy sources and IoHNT principles to power the nano/micro-scaled
electronic devices with the scope of IoNT. We discuss the IoHNT principles,
material selections, challenges, and state-of-the-art applications of each
energy source for both in-vivo and in vitro applications. Finally, we present
the latest challenges of EH along with future research directions to solve the
problems regarding constructing continuous IoNT containing various self-powered
nanodevices. Therefore, IoHNT represents a significant shift in nanodevice
power supply, leading us towards a future where wireless technology is
widespread. Hence, it will motivate researchers to envision and contribute to
the advancement of the following power revolution in IoNT, providing unmatched
simplicity and efficiency
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Performance Analysis and Modelling of Spectrum Handoff Schemes in Cognitive Radio Networks. Modelling and Analysis of Spectrum Handoff Decision Schemes in Cognitive Radio Networks using the Queuing Theory and Simulation for Licensed and Unlicensed Spectrum Bands.
Recently, wireless access has become an essential part of modern society. Consequently, the demand for new wireless applications and services, as well as the number of wireless users, are gradually increasing. Given that this amount of expansion is eventually controlled by the available radio frequency spectrum, government regulatory agencies have recently adopted a strict approach to the licensing of limited amounts of spectrum to different entities (e.g., public safety, military, service providers, unlicensed devices, and TV). All of them possess exclusive transmissions to their assigned frequency channels. A new study on spectrum efficiency revealed big geographic and temporal variations in spectrum utilisation, ranging from 15-85% in the bands below 3GHz. These variations were less at frequencies above this figure. Recently, the Cognitive Radio (CR) has risen as an encouraging piece of technology to improve spectrum efficiency and to solve the problem of spectrum scarcity. This is because CR allows the secondary (unlicensed) users to occupy unused licensed spectrum bands temporarily, given that the interference of the primary (licensed) users is prohibited or minimised.
In this thesis, various spectrum handoff management schemes have been proposed in order to improve the performance evaluation for CR networks. The proposed spectrum handoff schemes use the Opportunistic Spectrum Access (OSA) concept to utilise available spectrum bands. The handoff Secondary Users (SUs) have a higher priority to occupy available spectrum channels in the licensed and unlicensed spectrum bands without interfering with the legacy spectrum owner, i.e. primary users (PUs). However, existing spectrum handoff management schemes in CR networks do not provide high transmission opportunities for handoff secondary users to utilise the available radio spectrum resources. The first part of this thesis addresses the issue of spectrum handoff management in a licensed spectrum band environment. In this case, both reactive and proactive spectrum handoff schemes are proposed. Queuing theory or/and simulation experiments have been used to evaluate the performance of the proposed schemes and compare them with other existing schemes. Handoff delay has mainly been used to investigate the impact of successive handoff operations on the performance of the proposed CR networks. Implemented models have shown an improvement in the adopted performance measures. According to the achieved results, the improvement of the proposed, prioritised handoff schemes in some cases is approximately 75% when compared with existing schemes.
On the other hand, the second part of this research proposed a prioritised spectrum handoff scheme in a heterogeneous spectrum environment, which is composed of a pool of licensed and unlicensed spectrum channels. In general, the availability of substantial numbers of the licensed spectrum channels is the key benefit of using this type of radio spectrum channel. Whereas, accessing with equal rights for all types of users is the main advantage of using unlicensed spectrum channels. In this respect, no transmission interruptions occur once a user obtains a channel. In addition, the proposed schemes use only the unlicensed spectrum channels as their backup channels. This enables the user to resume interrupted transmission in the case of the spectrum handoff operation (mainly; due to the appearance of the primary users), and thus facilitates a SUs communication. The proposed principle is investigated using a retrial queuing theory as well as extensive simulation experiments, and is compared with another non-prioritised scheme which do not give any preference to handoff SUs over new SUs. The results indicate that the proposed model has improved on current average handoff delay.
This thesis contributes to knowledge by further enhancing the efficient utilisation of available radio spectrum resources and therefore subsequently provides an improvement in the spectrum capacity for wireless cognitive radio networks