Collation analysis of ZRP-RA accompanying ZRP and SHARP for sustainable computing

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Abstract

Sustainable industry request is additionally a developing pattern, and this is the motivation behind why the cordiality business is moving toward environmentally economical degrees of asset utilization. Traveler convenience offices embracing high maintainability guidelines are universally expanding. A portion of these benchmarks is about embracing vitality sparing advancements, picking advanced reports rather than printed ones to maintain a strategic distance from paper squander, and offering menus with natural and zero km fixings which in this real-time scenario are done through mobile ad hoc networks (MANET). Constant analysis and development in the domain of self-organizing ad hoc networks have led to various improvements in the field. One of the most effective breakthroughs is the development of hybrid protocols capitalizing on the benefits of the proactive and reactive routing methodology in the best possible way. Although all the proposed hybrid routing protocols combine proactive and reactive strategies into their functioning, however, they differ in the way they employ the strategies and how they limit their use in sync with the network changes. This paper analyzes and compares the performance of the neoteric ZRP-RA technique with the two hybrid routing algorithms, namely, ZRP and SHARP. The comparison is based on the various QOS parameters. Simulation is firstly performed individually succeeded by a comparison analysis performed with the help of various QOS parameters, namely, throughput, average end-to-end delay, jitter, packet delivery ratio, average energy consumption, normalized routing load, and packet loss ratio. The simulation results render a performance comparison in order to ascertain the best performing algorithm under given network conditions. Thus, results are indicative of the performance of the neoteric ZRP-RA based on the particular metric which specifies sustainable computing for various real-time applications of healthcare, agriculture, tourism, etc.

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APA

Zafar, S., Mehta, D., Khan, S., Iftekhar, N., & Biswas, S. S. (2021). Collation analysis of ZRP-RA accompanying ZRP and SHARP for sustainable computing. In EAI/Springer Innovations in Communication and Computing (pp. 107–117). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-51070-1_6

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