More Web Proxy on the site http://driver.im/

research-article

Enhancing Energy Consumption in IoT

Authors:

Iman Yasser Hegazy,

Amr KamelAuthors Info & Claims

ICSIE '20: Proceedings of the 9th International Conference on Software and Information Engineering

Pages 140 - 145

https://doi.org/10.1145/3436829.3436832

Published: 05 January 2021 Publication History

Abstract

Internet of Things (IoT) is a technology where device to device can communicate with a common goal to facilitate solutions for human daily life. This communication generates a huge amount of data. This data in order to be processed will consume a lot of energy to reach its goal with required quality of service (QoS). IoT devices are restricted by limited resources, storage and processing. Therefore the efficient use of power is critical for these devices. Energy efficiency issues in IoT have recently been attracting much attention and become a main research direction. This paper proposes a model to design an energy-efficient and reliable solution for group reformation procedures in Wi-Fi direct protocol for resource-constrained devices and to improve IoT reliability.

References

[1]

Wesley Tyler Hartman, Alexander Hansen, Erik Vasquez, Samy El-Tawab, Karim AltaiiJames Madison, 2018.Energy Monitoring and Control Using Internet of Things (IoT) System. 2018 IEEE.DOI=http://dx.doi.org/10.1109/SIEDS.2018.8374723.

[2]

Muhammad Asif Khana, Wael Cherifb, Fethi Filalib, Ridha Hamilaa, 2017. Wi-Fi Direct Research - Current Status and Future Perspectives. Journal of Network and Computer Applications, 2017. DOI=https://doi.org/10.1016/j.jnca.2017.06.004.

[3]

Wael Cherif, Muhammad Asif Khan, Fethi Filali, Sanaa Sharafeddine, Zaher Dawy, 2017. P2P Group Formation Enhancement for Opportunistic Networks with Wi-Fi Direct.IEEE 2017.DOI=http://dx.doi.org/10.1109/WCNC.2017.7925840.

Digital Library

[4]

Waleed Ejaz, Muhammad Naeem, Adnan Shahid, Alagan Anpalagan, and Minho Jo, 2017. Efficient Energy Management for the Internet of Things in Smart Cities, IEEE 2017.DOI=https://doi.org/10.1109/MCOM.2017.1600218CM.

Digital Library

[5]

Jiaze Wang, 1 Chunhua Hu, 2, 3 and Anfeng Liu1, 2017. Comprehensive Optimization of Energy Consumption and Delay Performance for Green Communication in Internet of Things. Hindawi Mobile Information Systems Volume 2017.DOI=https://doi.org/10.1155/2017/3206160

[6]

F. K. Shaikh, S. Zeadally, E. Exposito, 2015. Enabling technologies for green Internet of Things. IEEE Syst. J...DOI=http://dx.doi.org/10.1109/JSYST.2015.2415194

[7]

Navroop Kaur and Sandeep K. Sood, 2015. An Energy-Efficient Architecture for the Internet of Things (IoT). August 14, 2015, IEEE Journal. DOI=https://doi.org/10.1109/JSYST.2015.2469676.

[8]

F. A. Qayyum, M. Naeem, A. S. Khwaja, A. Anpalagan, L. Guan, B. Venkatesh, 2015. Appliance scheduling optimization in smart home networks, IEEE Access, vol. 3, pp. 2176--2190, Oct. 2015.DOI= http://dx.doi.org/10.1109/ACCESS.2015.2496117

[9]

J. Huang, Q. Duan, C.-C. Xing, H. Wang, 2017. Topology control for building a large-scale and energy-efficient internet of things. IEEE Wireless Commun., vol. 24, no. 1, pp. 67--73, Feb. 2017.DOI=https://doi.org/10.1109/MWC.2017.1600193WC

Digital Library

[10]

W. Ejaz et al., Ghalib A. Shah Najam ul Hasan Hyung Seok Kim, 2015. Energy and Throughput Efficient Cooperative Spectrum Sensing in Cognitive Radio Sensor Networks. Trans. Emerging Telecommun. Technologies, vol. 26, no. 7, July 2015, pp. 1019--30.DOI= https://doi.org/10.1002/ett.2803.

[11]

Peramanathan Sathyamoorthy, 1 Edith C.-H. Ngai, 1 Xiping Hu, 2, 3 and Victor C. M. Leung4, 2017. Profiling Energy Efficiency and Data Communications for Mobile Internet of Things. Volume 2017.DOI=http://dx.doi.org/10.1155/2017/6562915.

[12]

S Sarkar, S Chatterjee, S. Misra, 2015. Assessment of the suitability of fog computing in the context of internet of things [J]. IEEE Transactions on Cloud Computing, 2015.DOI=http://dx.doi.org/10.1109/TCC.2015.2485206.

[13]

C. Wei, Y. Li, 2011. Design of energy consumption monitoring and energy-saving management system of intelligent building based on the Internet of Things, Proc. Int. Conf. Electron. Commun. Control (ICECC), pp. 3650--3652, Sep. 2011.DOI= http://dx.doi.org/10.1109/ICECC.2011.6066758

[14]

J. Tang, Z. Zhou, J. Niu, and Q. Wang, 2014.An energy efficient hierarchical clustering index tree for facilitating time-correlated region queries in the Internet of things. J. Netw. Comput. Appl., vol. 40, pp. 1--11, Apr. 2014.DOI= https://doi.org/10.1016/j.jnca.2013.07.009

[15]

Özgür Umut Akgül, Berk Canberk, 2016. Self-Organized Things (SoT). Computer Communications, v.74 n.C, p.52--62, January 2016. DOI= http://dx.doi.org/10.1016/j.comcom.2014.07.004.

Digital Library

[16]

Z. Zhou, J. Tang, L. Zhang, K. Ning, and Q.Wang, 2014.EGF-tree: An energy efficient index tree for facilitating multi-region query aggregation in the Internet of things. Pers. Ubiquitous Comput. vol. 18, no. 4, pp. 951--966, Apr. 2014. /j.comcom.2014.07.004, to be published. DOI=http://dx.doi.org/10.1109/GreenCom-iThings-CPSCom.2013.81.

Digital Library

[17]

Osama Alsaryrah, Ibrahim Mashal, and Tein-Yaw Chung, 2018. Energy-Aware Services Composition for Internet of Things, IEEE, 2018.DOI=http://dx.doi.org/10.1109/WF-IoT.2018.8355213.

[18]

K. Jahed, O. Farhat, G. Al-Jurdi, and S. Sharafeddine, 2016. Optimized group owner selection in WiFi direct networks. In 2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM). 1--5. DOI= https://doi.org/10.1109/SOFTCOM.2016.7772169

[19]

U. Botrel Menegato, L. Souza Cimino, S. E. Delabrida Silva, F. A.Medeiros Silva, J. Castro Lima, and R. A. R. Oliveira, 2014. Dynamic clustering in wifi direct technology. In Proceedings of the 12th ACM international symposium on Mobility management and wireless access.ACM, 2014, pp. 25--29.DOI=http://doi.acm.org/10.1145/2642668.2642682.

[20]

Hongxu Zhang, Yufeng Wang, Chiu C. Tan, 2014. WD2: an improved wifi-direct group formation protocol, Proceedings of the 9th ACM MobiCom workshop on Challenged networks, September07-07, 2014, Maui, Hawaii, USA.DOI= http://doi.acm.org/10.1145/2645672.2645674.

Digital Library

[21]

U. B. Menegato, L. D. S. Cimino, S. Delabrida, F. A. Medeiros, R. A. R.Oliveira, and D. Ufop, 2014. Dynamic Clustering inWiFi Direct Technology. MobiWac, pp. 25--29, 2014.DOI=http://doi.acm.org/10.1145/2642668.2642682.

[22]

Muhammad Usman*, Muhammad Rizwan Asghar&dagger;, Imran Shafique Ansari&Dagger;, Marwa Qaraqe, and Fabrizio Granelli§, 2018An Energy Consumption Model for WiFi Direct Based D2D Communications." Proc. IEEE GLOBECOM, pp. 1--6, Dec.2018.DOI=https://doi.org/10.1109/GLOCOM.2018.8647905.

Digital Library

[23]

D. Camps-Mur, A. Garcia-Saavedra, and P. Serrano, 2013. Device-to-device communications with Wi-Fi Direct: overview and experimentation. IEEE Wireless Communications. DOI=http://dx.doi.org/10.1109/MWC.2013.6549288

[24]

P. Chaki, M. Yasuda, and N. Fujita, 2015. Seamless Group Reformation in WiFi Peer to Peer network using dormant backend links. In consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE. IEEE, 2015, pp. 773--778.DOI= http://dx.doi.org/ 10.1109/CCNC.2015.7158075.

[25]

A. A. Shahin and M. Younis, 2015. Efficient Multi-Group Formation and Communication Protocol for Wi-Fi Direct. Proceedings - Conference on Local Computer Networks, LCN, vol. 26--29-October-2015, pp. 233--236, 2015.DOI=http://dx.doi.org/10.1109/LCN.2015.7366314

Digital Library

Cited By

Syahmi Md Dzahir MSeng Chia K(2023)Evaluating the Energy Consumption of ESP32 Microcontroller for Real-Time MQTT IoT-Based Monitoring System2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)10.1109/3ICT60104.2023.10391358(255-261)Online publication date: 20-Nov-2023
https://doi.org/10.1109/3ICT60104.2023.10391358

Index Terms

Enhancing Energy Consumption in IoT
1. Software and its engineering
  1. Software organization and properties
    1. Extra-functional properties
      1. Software reliability

Recommendations

Energy consumption for securing lightweight IoT protocols
IoT '20: Proceedings of the 10th International Conference on the Internet of Things

In this paper we address the energy consumption of the Constraint Application Protocol (CoAP) and the Message Queue Telemetry Transport (MQTT) protocol and compare their overhead. We also pay attention to the use case of security in IoT and analyze the ...
Analysis of the Impact of Interaction Patterns and IoT Protocols on Energy Consumption of IoT Consumer Applications
Distributed Applications and Interoperable Systems
Abstract
Nowadays, it is estimated that half the connected devices are related to the Internet of Things (IoT). The IoT paradigm contributes to the increase of the Information Technology energy demand. The energy demand is due on one side to the huge ...
A Distributed Cluster Computing Energy-Efficient Routing Scheme for Internet of Things Systems

An internet of things system is expected to integrate the sensing, communication, networking, and cloud computing technologies in large-scale monitoring environments. The main monitoring infrastructure of internet of things systems is wireless sensor ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

ICSIE '20: Proceedings of the 9th International Conference on Software and Information Engineering

November 2020

251 pages

ISBN:9781450377218

DOI:10.1145/3436829

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Ain Shams University: Ain Shams University, Egypt

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 January 2021

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICSIE 2020

ICSIE 2020: 2020 9th International Conference on Software and Information Engineering

November 11 - 13, 2020

Cairo, Egypt

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
42
Total Downloads

Downloads (Last 12 months)7
Downloads (Last 6 weeks)0

Reflects downloads up to 16 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Syahmi Md Dzahir MSeng Chia K(2023)Evaluating the Energy Consumption of ESP32 Microcontroller for Real-Time MQTT IoT-Based Monitoring System2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)10.1109/3ICT60104.2023.10391358(255-261)Online publication date: 20-Nov-2023
https://doi.org/10.1109/3ICT60104.2023.10391358

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents