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Rough set-based quality of service optimisation guidelines with stack parameter in MANET

Rough set-based quality of service optimisation guidelines with stack parameter in MANET In mobile ad hoc network (MANET), providing a guaranteed service for packet delivery has to pass through several hurdles. Providing guaranteed service should address multiple quality of service (QoS) parameters under uncertain network conditions. The QoS parameters should be prioritised in consideration of MANET constraints and applications running on MANET. The QoS aspects of MANET are impacted by the multi-layer stack parameters. An analysis has been conducted to identify the trade-off point for configuring the stack parameters to achieve better QoS in packet delivery. The outcome of analysis is discussed in terms of packet error rate, energy efficiency, goodput and delay with the support of rough set theory (RST). The multi-objective analysis capabilities of RST make it suitable for taking dynamic decision to prioritise the QoS parameter. The rough set derived decision rules are filtered out based on probabilistic properties like strength, certainty and coverage of the decision rules. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Information and Decision Sciences Inderscience Publishers

Rough set-based quality of service optimisation guidelines with stack parameter in MANET

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1756-7017
eISSN
1756-7025
DOI
10.1504/IJIDS.2021.116498
Publisher site
See Article on Publisher Site

Abstract

In mobile ad hoc network (MANET), providing a guaranteed service for packet delivery has to pass through several hurdles. Providing guaranteed service should address multiple quality of service (QoS) parameters under uncertain network conditions. The QoS parameters should be prioritised in consideration of MANET constraints and applications running on MANET. The QoS aspects of MANET are impacted by the multi-layer stack parameters. An analysis has been conducted to identify the trade-off point for configuring the stack parameters to achieve better QoS in packet delivery. The outcome of analysis is discussed in terms of packet error rate, energy efficiency, goodput and delay with the support of rough set theory (RST). The multi-objective analysis capabilities of RST make it suitable for taking dynamic decision to prioritise the QoS parameter. The rough set derived decision rules are filtered out based on probabilistic properties like strength, certainty and coverage of the decision rules.

Journal

International Journal of Information and Decision SciencesInderscience Publishers

Published: Jan 1, 2021

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