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Abdullah Muhammed
Researcher at Universiti Putra Malaysia
Publications - 44
Citations - 277
Abdullah Muhammed is an academic researcher from Universiti Putra Malaysia. The author has contributed to research in topics: Scheduling (computing) & Quality of service. The author has an hindex of 6, co-authored 41 publications receiving 194 citations. Previous affiliations of Abdullah Muhammed include Information Technology University.
Papers
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Journal ArticleDOI
Mobility management for IoT: a survey
TL;DR: This paper extensively reviews and discusses the algorithms developed to address the challenges and the techniques of integrating IP over WSNs, the attributes of mobility management within the IPv4 and IPv6, respectively, and special focus is given on a comprehensive review encompassing mechanisms, advantages, and disadvantages on related workWithin the IPv6 mobility management.
Performance Comparison Study of Routing Protocols for Mobile Grid Environment
TL;DR: The results of simulation done in identifying suitable ad hoc routing protocol that can be used for the target mobile grid application are presented, comparing three ad hoc routes named DSDV, DSR and AODV.
Journal ArticleDOI
Quality of Service Class Identifier (QCI) radio resource allocation algorithm for LTE downlink.
TL;DR: A novel downlink resource allocation algorithm that uses quality of service (QoS) requirements and channel conditions to address performance degradation is proposed and results demonstrate that it performs better than do all other algorithms according to the measured metrics.
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An Adaptive Call Admission Control With Bandwidth Reservation for Downlink LTE Networks
TL;DR: Simulation results show that the proposed CAC scheme significantly outperforms the reservation-based scheme and bandwidth degradation schemes in terms of admitting many calls and guaranteeing QoS to all the traffic types in the network.
Journal ArticleDOI
A hybrid heuristic of Variable Neighbourhood Descent and Great Deluge algorithm for efficient task scheduling in Grid computing
TL;DR: A novel hybrid heuristic-based algorithm is proposed, which synergised the excellent diversification capability of Great Deluge algorithm with the powerful systematic multi-neighbourhood search strategy captured in Variable Neighbourhood Descent algorithm, to efficiently schedule independent tasks in Grid computing environment with an objective of minimising the makespan.