research-article

Social-aware energy management in D2D communications

Authors:

Mojtaba Ahmadi,

Zahra ShirmohammadiAuthors Info & Claims

Volume 237, Issue C

https://doi.org/10.1016/j.comnet.2023.110061

Published: 04 March 2024 Publication History

Abstract

The rapid evolution of cellular networks (4G and 5G), has led to an unprecedented increase in network traffic, driven by both the growing number of mobile users and the escalating data consumption per user. This surge significantly impacts energy consumption and quality of service (QoS). Device to Device (D2D) communication technology has emerged as a promising solution. However, D2D communication encounters substantial challenges, particularly in the domain of energy management. This paper presents a novel social-aware framework designed to address the energy management challenges in D2D communications. It explores how users' social network characteristics can optimize D2D communication for enhanced energy efficiency. The framework includes two innovative methods, SOCICHS and SOCICF, specifically developed for cluster head selection and cluster formation. These methods seamlessly integrate both social and physical information to facilitate energy-efficient D2D communication. Additionally, we propose a comprehensive model for D2D communication management within this framework. To evaluate the effectiveness of the approach, extensive experiments were conducted, involving a maximum population of 1200 users and the consideration of various coefficient values (τ₁, τ₂). The use of the GOWALLA dataset revealed an average energy efficiency improvement of 25 % and 31 % when compared to base scenarios. Likewise, the analysis of the BRIGHTKITE dataset showed energy efficiency enhancements of 23 % and 32 %. These findings reveal the significant impact of social-aware clustering on energy management within D2D communications. Moreover, the integration of physical features, such as distance, into the framework demonstrated its additional value in achieving efficient energy consumption.

References

[1]

M. Ahmed, Y. Li, M. Waqas, M. Sheraz, D. Jin, Z. Han, A survey on socially aware device-to-device communications, IEEE Commun. Surveys Tutorials 20 (3) (2018) 2169–2197.

[2]

Y. Tao, W. Xiang, H. Huang, M. Hu, B. Liu, D2D relay communication scheme incorporating multi-dimensional information in multimedia transmission, IEEE Access 7 (2019) 172413–172424.

[3]

Q. Shen, W. Shao, X. Fu, D2D relay incenting and charging modes that are commercially compatible with B2D services, IEEE Access 7 (2019) 36446–36458.

[4]

N. Kayastha, D. Niyato, P. Wang, E. Hossain, Applications, architectures, and protocol design issues for mobile social networks: a survey, Proc. IEEE 99 (12) (2011) 2130–2158.

[5]

A. Said, S.W.H. Shah, H. Farooq, A.N. Mian, A. Imran, J. Crowcroft, Proactive caching at the edge leveraging influential user detection in cellular d2d networks, Future Internet 10 (10) (2018) 93.

[6]

R. Zhang, S. Jia, Y. Ma, C. Xu, Social-aware D2D video delivery method based on mobility similarity measurement in 5G ultra-dense network, IEEE Access 8 (2020) 52413–52427.

[7]

Z. Ning, X. Wang, X. Kong, W. Hou, A social-aware group formation framework for information diffusion in narrowband Internet of Things, IEEE Internet Things J. 5 (3) (2017) 1527–1538.

[8]

Y. Zhang, E. Pan, L. Song, W. Saad, Z. Dawy, Z. Han, Social network aware device-to-device communication in wireless networks, IEEE Trans. Wireless Commun. 14 (1) (2014) 177–190.

[9]

Liye. Ma, Ramayya Krishnan, Alan L. Montgomery, Latent homophily or social influence? An empirical analysis of purchase within a social network, Manage. Sci. 61 (2) (2015) 454–473.

Digital Library

[10]

E. Yaacoub, H. Ghazzai, M.S. Alouini, A. Abu-Dayya, Achieving energy efficiency in LTE with joint D2D communications and green networking techniques, in: 2013 9th international wireless communications and mobile computing conference (IWCMC), IEEE, 2013, pp. 270–275.

[11]

Y. Zhang, Y. Zhang, D. Guo, M. Song, An energy-saving algorithm based on base station sleeping in multi-hop D2D communication, in: 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), IEEE, 2016, pp. 1–5.

[12]

H. Qian, J. Yu, L. Hua, Relay selection algorithm based on social network combined with Q-learning for vehicle D2D communication, IET Commun. 13 (20) (2019) 3582–3587.

Digital Library

[13]

M. Guo, M. Xiao, MSSN: an attribute-aware transmission algorithm exploiting node similarity for opportunistic social networks, Information 10 (10) (2019) 299.

[14]

N. Saxena, F.H. Kumbhar, A. Roy, Exploiting social relationships for trustworthy D2D relay in 5G cellular networks, IEEE Commun. Mag. 58 (2) (2020) 48–53.

[15]

H. Zhang, Z. Wang, Q. Du, Social-aware D2D relay networks for stability enhancement: an optimal stopping approach, IEEE Trans. Veh. Technol. 67 (9) (2018) 8860–8874.

[16]

C. Shan, X.P. Wu, Y. Liu, J. Cai, J.Z. Luo, IBP based caching strategy in D2D, Appl. Sci. 9 (12) (2019) 2416.

[17]

D. Wu, B. Liu, Q. Yang, R. Wang, Social-aware cooperative caching mechanism in mobile social networks, J. Netw. Comput. Appl. 149 (2020).

Digital Library

[18]

N.S. Vo, T.M. Phan, M.P. Bui, X.K. Dang, N.T. Viet, C. Yin, Social-aware spectrum sharing and caching helper selection strategy optimized multicast video streaming in dense D2D 5G networks, IEEE Syst. J. 15 (3) (2020) 3480–3491.

[19]

B. Gabr, B. Soret, P. Popovski, S. Hosny, M. Nafie, Social-Aware content delivery in low latency D2D caching networks, in: 2019 IEEE Globecom Workshops (GC Wkshps), IEEE, 2019, pp. 1–6.

[20]

W. Zhang, D. Wu, W. Yang, Y. Cai, Caching on the move: a user interest-driven caching strategy for D2D content sharing, IEEE Trans. Veh. Technol. 68 (3) (2019) 2958–2971.

[21]

K. Zhu, W. Zhi, X. Chen, L. Zhang, Socially motivated data caching in ultra-dense small cell networks, IEEE Netw. 31 (4) (2017) 42–48.

[22]

Y. Pan, C. Pan, H. Zhu, Q.Z. Ahmed, M. Chen, J. Wang, Content offloading via D2D communications based on user interests and sharing willingness, in: 2017 IEEE International Conference on Communications (ICC), IEEE, 2017, pp. 1–6.

[23]

Y. Inagaki, R. Shinkuma, Shared-resource management using online social-relationship metric for altruistic device sharing, IEEE Access 6 (2018) 23191–23201.

[24]

M.N. Soorki, W. Saad, M.H. Manshaei, H. Saidi, Social community-aware content placement in wireless device-to-device communication networks, IEEE Trans. Mob. Comput. 18 (8) (2018) 1938–1950.

[25]

C. Ma, M. Ding, H. Chen, Z. Lin, G. Mao, Y.C. Liang, B. Vucetic, Socially aware caching strategy in device-to-device communication networks, IEEE Trans. Veh. Technol. 67 (5) (2018) 4615–4629.

[26]

S. Aslam, F. Alam, S.F. Hasan, M. Rashid, A novel weighted clustering algorithm supported by a distributed architecture for D2D enabled content-centric networks, Sensors 20 (19) (2020) 5509.

[27]

L. Yang, D. Wu, Y. Cai, A distributed social-aware clustering approach in D2D multicast communications, in: 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), IEEE, 2018, pp. 42–47.

[28]

F. Ren, X. Wang, D. Wang, Y. Zhang, Y. Lan, Joint social, energy and transfer rate to select cluster heads in D2D multicast communication, in: 2018 10th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), IEEE, 2018, pp. 434–439.

[29]

S. Doumiati, H. Artail, K. Kabalan, A framework for clustering LTE devices for implementing group D2D communication and multicast capability, in: 2017 8th International Conference on Information and Communication Systems (ICICS), IEEE, 2017, pp. 216–221.

[30]

L. Feng, P. Zhao, F. Zhou, M. Yin, P. Yu, W. Li, X. Qiu, Resource allocation for 5G D2D multicast content sharing in social-aware cellular networks, IEEE Commun. Mag. 56 (3) (2018) 112–118.

Digital Library

[31]

G. Zhang, K. Yang, H.H. Chen, Socially aware cluster formation and radio resource allocation in D2D networks, IEEE Wirel. Commun. 23 (4) (2016) 68–73.

[32]

L. Zhao, L. Wang, X. Zhang, B. Kang, Social-aware cooperative video distribution via svc streaming multicast, Wirel. Commun. Mobile Comput. (2018) 2018.

[33]

D. Wu, Q. Liu, H. Wang, D. Wu, R. Wang, Socially aware energy-efficient mobile edge collaboration for video distribution, IEEE Trans. Multimedia 19 (10) (2017) 2197–2209.

Digital Library

[34]

M.M. Tulu, R. Hou, S.A. Gerezgiher, T. Younas, M.D. Amentie, Finding best matching community for common nodes in mobile social networks, Wirel. Personal Commun. 114 (4) (2020) 2889–2908.

[35]

D. Wu, L. Zhou, Y. Cai, H.C. Chao, Y. Qian, Physical–social-aware D2D content sharing networks: a provider–demander matching game, IEEE Trans. Veh. Technol. 67 (8) (2018) 7538–7549.

[36]

A. Fronczak, P. Fronczak, J.A. Hołyst, Mean-field theory for clustering coefficients in Barabási-Albert networks, Phys. Rev. E 68 (4) (2003).

[37]

B. Buechel, V. Buskens, The dynamics of closeness and betweenness, J. Math. Sociol. 37 (3) (2013) 159–191.

[38]

M.O. Jackson, An overview of social networks and economic applications, Handbook Soc. Econ. 1 (2011) 511–585.

[39]

P. Hui, J. Crowcroft, E. Yoneki, Bubble rap: social-based forwarding in delay-tolerant networks, IEEE Trans. Mob. Comput. 10 (11) (2010) 1576–1589.

Digital Library

[40]

H. Min, J. Lee, S. Park, D. Hong, Capacity enhancement using an interference limited area for device-to-device uplink underlaying cellular networks, IEEE Trans. Wireless Commun. 10 (12) (2011) 3995–4000.

[41]

A. Bourdena, C.X. Mavromoustakis, G. Mastorakis, J.J. Rodrigues, C. Dobre, Using socio-spatial context in mobile cloud process offloading for energy conservation in wireless devices, IEEE Trans. Cloud Comput. 7 (2) (2015) 392–402.

[42]

H. Wimmer, L. Powell, Principle component analysis for feature reduction and data preprocessing in data science, in: Proceedings of the Conference on Information Systems Applied Research ISSN, 2167, 2016, p. 1508.

[43]

E. Cho, S.A. Myers, J. Leskovec, Friendship and mobility: user movement in location-based social networks, in: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011, pp. 1082–1090.

Digital Library

[44]

E. Yaacoub, Cooperative energy efficient D2D clustering in LTE-A with enhanced QoS, Telecommun. Syst. 67 (3) (2018) 401–414.

[45]

Y. Xu, S. Jiang, J. Wu, Towards energy efficient device-to-device content dissemination in cellular networks, IEEE Access 6 (2018) 25816–25828.

[46]

H. Rong, Z. Wang, H. Jiang, Z. Xiao, F. Zeng, Energy-aware clustering and routing in infrastructure failure areas with D2D communication, IEEE Internet Things J. 6 (5) (2019) 8645–8657.

Index Terms

Social-aware energy management in D2D communications
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

Index terms have been assigned to the content through auto-classification.

Recommendations

Jointly Optimize Energy Harvest Time and Device Pairing for D2D Communications Underlaying Cellular Network
Abstract
Nowadays, to realize device sustainability and prolong device working time, energy harvest (EH) has been introduced into D2D communication networks that allow each D2D equipment (DUE) harvesting the radio frequency energy from the facilities in ...
Joint Energy Management for Distributed Energy Harvesting Systems
SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems

Employing energy harvesting to power the Internet of Things supports their long-term, self-sustainable, and maintenance-free operation. These energy harvesting systems have an energy management subsystem to orchestrate the flow of energy and optimize ...
A Comprehensive Multi-Objective Energy Management Approach for Wearable Devices with Dynamic Energy Demands
Recent advancements in low-power electronics and machine-learning techniques have paved the way for innovative wearable IoT devices. However, these devices suffer from limited battery capacity and computational power. Hence, energy harvesting from ambient ...

Comments

Information & Contributors

Information

Published In

cover image Computer Networks: The International Journal of Computer and Telecommunications Networking

Computer Networks: The International Journal of Computer and Telecommunications Networking Volume 237, Issue C

Dec 2023

895 pages

ISSN:1389-1286

Issue’s Table of Contents

Elsevier B.V.

Publisher

Elsevier North-Holland, Inc.

United States

Publication History

Published: 04 March 2024

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
0
Total Downloads

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

Reflects downloads up to 06 Oct 2024

Other Metrics

View Author Metrics

Citations

View Options

View options

Get Access

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

Media

Figures

Other

Tables

View Issue’s Table of Contents