M
Ming Zhao
Researcher at Nanyang Technological University
Publications - 20
Citations - 404
Ming Zhao is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Routing protocol & Chemistry. The author has an hindex of 8, co-authored 12 publications receiving 273 citations. Previous affiliations of Ming Zhao include Agency for Science, Technology and Research & Institute for Infocomm Research Singapore.
Papers
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A Comprehensive Study of IoT and WSN MAC Protocols: Research Issues, Challenges and Opportunities
TL;DR: The essential properties of MAC protocols, the MAC for IoT and the common causes of energy consumptions are discussed and several protocols under each category are discussed in depth, emphasizing their strengths and weaknesses, and giving a detailed comparison ofMAC protocols.
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An Energy-Efficient Region-Based RPL Routing Protocol for Low-Power and Lossy Networks
TL;DR: This paper proposes a novel energy-efficient region-based routing protocol (ER-RPL), which achieves energy- efficient data delivery without compromising reliability and the key of energy saving.
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A comprehensive study of RPL and P2P-RPL routing protocols: Implementation, challenges and opportunities
TL;DR: This paper presents a comprehensive study of RPL protocol as well as its latest and standardized addition, i.e., point-to-point RPL (P2P-RPL).
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An energy-efficient and cluster-parent based RPL with power-level refinement for low-power and lossy networks
TL;DR: Extensive simulation results demonstrate that the proposed HECRPL routing protocol can effectively prolong the lifetime of the network and achieve more reliable data delivery compared to the benchmark, i.e., RPL, across a wide range of scenarios.
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A Reliable and Energy-Efficient Opportunistic Routing Protocol for Dense Lossy Networks
TL;DR: In order to prolong the lifetime of networks and improve the reliability of networks, a reliable and energy-efficient opportunistic routing (REOR) protocol is proposed, which effectively utilizes path diversity by jointly selecting optimal transmit power and optimal forwarder set.