ABSTRACT
Sensor nodes are one of the basic elements in the Tactile Internet-based fog computing architecture. They provide a huge amount of data to the network due to the widespread real-world applications that use these types of wireless devices. This huge number of data, transmitted by the sensor devices to the fog gateway and then to the cloud, leads to high communication costs, increased power consumption, and high latency at the fog gateway. These challenges would be considered as a hurdle in the Tactile Internet-based fog system. To tackle these challenges, this paper proposes an Energy-efficient Fog Computing-enabled Data Transmission (EFoCoD) protocol in Tactile Internet-based Applications. The protocol works on sensor devices level in the Tactile Internet-based fog computing architecture. EFoCoD protocol executes a Lightweight Data Redundancy Elimination (LiDaRE) Algorithm at the sensor level to reduce the collected data before transferring them to the smart fog gateway. To study the performance of the EFoCoD, it was compared to its counterpart protocols in the literature just like ATP and PFF. Simulation results show that EFoCoD outperforms these protocols in terms of energy consumption, transmitted data, and data accuracy.
- Shubhani Aggarwal and Neeraj Kumar. 2019. Fog computing for 5G-enabled tactile Internet: Research issues, challenges, and future research directions. Mobile Networks and Applications (2019), 1--28.Google Scholar
- Ali Kadhum M Al-Qurabat and Ali Kadhum Idrees. 2019. Two level data aggregation protocol for prolonging lifetime of periodic sensor networks. Wireless Networks 25, 6 (2019), 3623--3641.Google ScholarDigital Library
- Jacques M Bahi, Abdallah Makhoul, and Maguy Medlej. 2014. A two tiers data aggregation scheme for periodic sensor networks. Adhoc & Sensor Wireless Networks 21, 1 (2014).Google Scholar
- Hassan Harb, Abdallah Makhoul, Raphaël Couturier, and Maguy Medlej. 2015. ATP: An aggregation and transmission protocol for conserving energy in periodic sensor networks. In Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2015 IEEE 24th International Conference on. IEEE, 134--139.Google Scholar
- Hassan Harb, Abdallah Makhoul, Rami Tawil, and Ali Jaber. 2014. A suffix-based enhanced technique for data aggregation in periodic sensor networks. In Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International. IEEE, 494--499.Google ScholarCross Ref
- Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan. 2000. Energy-efficient communication protocol for wireless microsensor networks. In System sciences, 2000. Proceedings of the 33rd annual Hawaii international conference on. IEEE, 10--pp.Google ScholarDigital Library
- Ali Kadhum Idrees, Rafal Alhussaini, and Mahdi Abed Salman. 2020. Energy-efficient two-layer data transmission reduction protocol in periodic sensor networks of IoTs. Personal and Ubiquitous Computing (2020), 1--20.Google Scholar
- Sara Kadhum Idrees and Ali Kadhum Idrees. 2021. New fog computing enabled lossless EEG data compression scheme in IoT networks. Journal of Ambient Intelligence and Humanized Computing (2021), 1--14.Google Scholar
- Samuel Madden. 2004. Intel Berkeley Research lab. http://db.csail.mit.edu/labdata/labdata.html (2004).Google Scholar
- Nattakorn Promwongsa, Amin Ebrahimzadeh, Diala Naboulsi, Somayeh Kianpisheh, Fatna Belqasmi, Roch Glitho, Noel Crespi, and Omar Alfandi. 2020. A comprehensive survey of the tactile internet: State-of-the-art and research directions. IEEE Communications Surveys & Tutorials (2020).Google Scholar
- Shree Krishna Sharma, Isaac Woungang, Alagan Anpalagan, and Symeon Chatzinotas. 2020. Toward tactile internet in beyond 5G era: Recent advances, current issues, and future directions. IEEE Access 8 (2020), 56948--56991.Google ScholarCross Ref
- Andras Varga. 2003. nesC Language Manual. https://github.com/tinyos/nesc/blob/master/doc/-ref.pdf?raw=true (2003).Google Scholar
Index Terms
- Energy-efficient fog computing-enabled data transmission protocol in tactile internet-based applications
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