EE‐MRP: Energy‐Efficient Multistage Routing Protocol for Wireless Sensor Networks Article Swipe
Muhammad Kamran Khan
,
Muhammad Shiraz
,
Kayhan Zrar Ghafoor
,
Suleman Khan
,
Ali Safaa Sadiq
,
Ghufran Ahmed
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1155/2018/6839671
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1155/2018/6839671
Wireless sensor networks (WSNs) have captivated substantial attention from both industrial and academic research in the last few years. The major factor behind the research efforts in that field is their vast range of applications which include surveillance systems, military operations, health care, environment event monitoring, and human safety. However, sensor nodes are low potential and energy constrained devices; therefore, energy‐efficient routing protocol is the foremost concern. In this paper, an energy‐efficient routing protocol for wireless sensor networks is proposed. Our protocol consists of a routing algorithm for the transmission of data, cluster head selection algorithm, and a scheme for the formation of clusters. On the basis of energy analysis of the existing routing protocols, a multistage data transmission mechanism is proposed. An efficient cluster head selection algorithm is adopted and unnecessary frequency of reclustering is exterminated. Static clustering is used for efficient selection of cluster heads. The performance and energy efficiency of our proposed routing protocol are assessed by the comparison of the existing routing protocols on a simulation platform. On the basis of simulation results, it is observed that our proposed routing protocol (EE‐MRP) has performed well in terms of overall network lifetime, throughput, and energy efficiency.
Related Topics
Concepts
Computer science
Wireless sensor network
Computer network
Routing protocol
Protocol (science)
Wireless Routing Protocol
Zone Routing Protocol
Efficient energy use
Routing (electronic design automation)
Energy (signal processing)
Key distribution in wireless sensor networks
Dynamic Source Routing
Wireless
Telecommunications
Wireless network
Electrical engineering
Medicine
Engineering
Mathematics
Pathology
Alternative medicine
Statistics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2018/6839671
- http://downloads.hindawi.com/journals/wcmc/2018/6839671.pdf
- OA Status
- hybrid
- Cited By
- 52
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2783214249
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2783214249Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2018/6839671Digital Object Identifier
- Title
-
EE‐MRP: Energy‐Efficient Multistage Routing Protocol for Wireless Sensor NetworksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-01-01Full publication date if available
- Authors
-
Muhammad Kamran Khan, Muhammad Shiraz, Kayhan Zrar Ghafoor, Suleman Khan, Ali Safaa Sadiq, Ghufran AhmedList of authors in order
- Landing page
-
https://doi.org/10.1155/2018/6839671Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/wcmc/2018/6839671.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/wcmc/2018/6839671.pdfDirect OA link when available
- Concepts
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Computer science, Wireless sensor network, Computer network, Routing protocol, Protocol (science), Wireless Routing Protocol, Zone Routing Protocol, Efficient energy use, Routing (electronic design automation), Energy (signal processing), Key distribution in wireless sensor networks, Dynamic Source Routing, Wireless, Telecommunications, Wireless network, Electrical engineering, Medicine, Engineering, Mathematics, Pathology, Alternative medicine, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
52Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 7, 2023: 6, 2022: 7, 2021: 17Per-year citation counts (last 5 years)
- References (count)
-
32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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