Cited by 70Energy Efficient Wireless Sensor NetworksWireless Sensor Networks and IoTIoT Networks and Protocols

MQRP: Mobile sinks-based QoS-aware data gathering protocol for wireless sensor networks-based smart grid applications in the context of industry 4.0-based on internet of things

Faheem, Muhammad, Gungor, V.C.·2018·Future Generation Computer Systems

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Registry

Crossref · 10.1016/j.future.2017.10.009

Cites

43 of 43 references verified0 citation errors · 0 not checkable

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  • In [13], the proposed MQRP scheme leads to improved QoS performance metrics such as packet delivery ratio, memory utilization, control message overhead, residual energy, network lifetime, and throughput.

    “The experimental results in the paper show that the proposed scheme leads to improved QoS performance metrics, such as packet delivery ratio, memory utilization, control message overhead, residual energy, network lifetime, and throughput.”

    From QoE in IoT: a vision, survey and future directions (2021) · cites this paper as [13]

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Authors
Faheem, M., & Gungor, V. C.
Affiliations
Taylor's University (MY)
Corresponding author
Faheem, Muhammad
Venue
Future Generation Computer Systems
Publisher
Elsevier BV
Published
2018-05
Volume
82
Pages
358-374
ISSN
0167-739X (ISSN-L)
OpenAlex
W2767876360
Cited by
70
References
43
Citations by year
2026: 1 · 2025: 3 · 2024: 6 · 2023: 7 · 2022: 9 · 2021: 10 · 2020: 16 · 2019: 10 · 2018: 8
FWCI
5.95
Type
journal article
Language
en
Open access
closed
Locations
Future Generation Computer Systems (publishedVersion)
Funders
Turkish National Academy of Sciences Distinguished Young Scientist Award Program (V.G./TUBA-GEBIP/2013-14)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
  • Physical Sciences › Engineering › Control and Systems Engineering › Wireless Sensor Networks and IoT
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT Networks and Protocols
Keywords
mobile sink, data gathering protocol, quality of service, wireless sensor networks, smart grid, Industry 4.0, Internet of Things, multi-hop communication, network lifetime, residual energy, packet delivery ratio, end-to-end delay, packet error rate

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