M
Md. Abdur Razzaque
Researcher at University of Dhaka
Publications - 134
Citations - 2031
Md. Abdur Razzaque is an academic researcher from University of Dhaka. The author has contributed to research in topics: Wireless sensor network & Quality of service. The author has an hindex of 22, co-authored 116 publications receiving 1567 citations. Previous affiliations of Md. Abdur Razzaque include Kyung Hee University & Green University of Bangladesh.
Papers
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Data-centric multiobjective QoS-aware routing protocol for body sensor networks.
TL;DR: A data-centric multiobjective QoS-Aware routing protocol, called DMQoS, is proposed, which facilitates the system to achieve customized QoS services for each traffic category differentiated according to the generated data types.
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Multi-Constrained QoS Geographic Routing for Heterogeneous Traffic in Sensor Networks
TL;DR: A new aggregate routing model and a localized algorithm (DARA) that implements the model are proposed and the simulation results demonstrate that DARA effectively improves the reliability, delay guarantee and energy efficiency.
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A Mobility-Aware Optimal Resource Allocation Architecture for Big Data Task Execution on Mobile Cloud in Smart Cities
TL;DR: A mobility- aware optimal resource allocation architecture, namely Mobi-Het, for remote big data task execution in MCC that offers higher efficiency in timeliness and reliability is proposed.
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Traffic Priority and Load Adaptive MAC Protocol for QoS Provisioning in Body Sensor Networks
TL;DR: This paper designs a priority-based traffic load adaptive medium access control (MAC) protocol for BSNs, namely, PLA-MAC, which addresses the aforementioned requirements and maintains efficiency in power consumption.
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Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities
TL;DR: An ant colony optimization-based joint VM migration model for a heterogeneous, MCC-based Smart Healthcare system in Smart City environment is proposed and a thorough performance evaluation is presented to investigate the effectiveness of the proposed model compared with the state-of-the-art approaches.