Adaptive Redundancy-Based Transmission for Wireless Sensor Networks
Wireless Sensor Networks (WSNs) are built upon tens to thousands of sensor nodes dispersed across a geographical area. Most sensor nodes have limited on-board resources, such as limited computing capabilities and limited power. These issues can reduce the reliability of the sensor nodes, which, in t...
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2019
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my.um.eprints.238462020-02-19T02:33:17Z http://eprints.um.edu.my/23846/ Adaptive Redundancy-Based Transmission for Wireless Sensor Networks Ng, Jin Ren Goh, Vik Tor Yap, Timothy Tzen Vun Shuib, Mustaffa Kamal QA75 Electronic computers. Computer science QE Geology T Technology (General) Wireless Sensor Networks (WSNs) are built upon tens to thousands of sensor nodes dispersed across a geographical area. Most sensor nodes have limited on-board resources, such as limited computing capabilities and limited power. These issues can reduce the reliability of the sensor nodes, which, in turn, affects the robustness of the WSN as a whole. One of the components that can be affected is the data transmission system of the sensor nodes. We propose a reliable transport layer protocol that uses a combination of redundant packets and probabilistic transmission to ensure reliable transmission of data while maintaining the efficiency of the network. The proposed protocol does not require acknowledgement packets, such as the transmission control protocol (TCP) and yet its efficiency is similar to that of the user datagram protocol (UDP). In this paper, we explain the proposed protocol and demonstrate how it can achieve 7% improvements in reliability while maintaining 77% efficiency compared to UDP. © IJTech 2019. Faculty of Engineering, Universitas Indonesia 2019 Article PeerReviewed Ng, Jin Ren and Goh, Vik Tor and Yap, Timothy Tzen Vun and Shuib, Mustaffa Kamal (2019) Adaptive Redundancy-Based Transmission for Wireless Sensor Networks. International Journal of Technology, 10 (7). pp. 1355-1364. ISSN 2086-9614 https://doi.org/10.14716/ijtech.v10i7.3248 doi:10.14716/ijtech.v10i7.3248 |
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QA75 Electronic computers. Computer science QE Geology T Technology (General) Ng, Jin Ren Goh, Vik Tor Yap, Timothy Tzen Vun Shuib, Mustaffa Kamal Adaptive Redundancy-Based Transmission for Wireless Sensor Networks |
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Wireless Sensor Networks (WSNs) are built upon tens to thousands of sensor nodes dispersed across a geographical area. Most sensor nodes have limited on-board resources, such as limited computing capabilities and limited power. These issues can reduce the reliability of the sensor nodes, which, in turn, affects the robustness of the WSN as a whole. One of the components that can be affected is the data transmission system of the sensor nodes. We propose a reliable transport layer protocol that uses a combination of redundant packets and probabilistic transmission to ensure reliable transmission of data while maintaining the efficiency of the network. The proposed protocol does not require acknowledgement packets, such as the transmission control protocol (TCP) and yet its efficiency is similar to that of the user datagram protocol (UDP). In this paper, we explain the proposed protocol and demonstrate how it can achieve 7% improvements in reliability while maintaining 77% efficiency compared to UDP. © IJTech 2019. |
format |
Article |
author |
Ng, Jin Ren Goh, Vik Tor Yap, Timothy Tzen Vun Shuib, Mustaffa Kamal |
author_facet |
Ng, Jin Ren Goh, Vik Tor Yap, Timothy Tzen Vun Shuib, Mustaffa Kamal |
author_sort |
Ng, Jin Ren |
title |
Adaptive Redundancy-Based Transmission for Wireless Sensor Networks |
title_short |
Adaptive Redundancy-Based Transmission for Wireless Sensor Networks |
title_full |
Adaptive Redundancy-Based Transmission for Wireless Sensor Networks |
title_fullStr |
Adaptive Redundancy-Based Transmission for Wireless Sensor Networks |
title_full_unstemmed |
Adaptive Redundancy-Based Transmission for Wireless Sensor Networks |
title_sort |
adaptive redundancy-based transmission for wireless sensor networks |
publisher |
Faculty of Engineering, Universitas Indonesia |
publishDate |
2019 |
url |
http://eprints.um.edu.my/23846/ https://doi.org/10.14716/ijtech.v10i7.3248 |
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1662755188445806592 |