Channel Allocation in Wireless Networks - Datta Gupta, Koyel
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With the steep rise in the number of wireless users, effective and efficient use of spectrum is becoming a big challenge. Reliable, energy efficient and timely allocation of channels to a communication session is crucial. Many researchers have been working in this aspect for decades now. The ever changing technology in wireless networks has forced the researchers to expand their work continually or even shift their paradigm of work to meet the current requirements. This research work focuses on the problem of channel allocation in present day wireless networks. The aim was to develop novel…mehr

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Produktbeschreibung
With the steep rise in the number of wireless users, effective and efficient use of spectrum is becoming a big challenge. Reliable, energy efficient and timely allocation of channels to a communication session is crucial. Many researchers have been working in this aspect for decades now. The ever changing technology in wireless networks has forced the researchers to expand their work continually or even shift their paradigm of work to meet the current requirements. This research work focuses on the problem of channel allocation in present day wireless networks. The aim was to develop novel approaches for high performance hybrid channel allocation algorithms for wireless networks. In general, the term "channel" could be referred to frequency or time slot or code. The main emphasis of this work has been on the frequency aspect. The research methodology is experimental and divided into five phases. The first phase consists of minimizing the network cost while allocating channels (fixed and dynamic) and ensuring high reliability (in terms of ink failure). In wireless communication network, reliability is one of the major issues.
Autorenporträt
El Dr. Koyel Datta Gupta es un profesional con una experiencia de más de 17 años en el ámbito académico. Sus áreas de investigación incluyen la seguridad de la red, IoT, Blockchain y Machine Learning. La Dra. ha publicado más de 30 artículos de investigación en revistas de renombre como Expert Systems, ETT Wiley, Neural Processing Letters, Springer, etc.