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2023 | OriginalPaper | Chapter

The Proclivity of Green Communication for Logistics Industry: A Framework

Authors : Tengku Nurul Aishah Tengku Aziz, Shahirah Sharifuddin, S. Sarifah Radiah Shariff

Published in: Impact of Artificial Intelligence, and the Fourth Industrial Revolution on Business Success

Publisher: Springer International Publishing

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Abstract

Nowadays communication has become a strong part in transferring information. Wireless devices have thrived in number recently, which connects the world by people and objects. The demand of internet has become the backbone of our communication network recently. The energy consumption increasing drastically due to the current situation caused by pandemic COVID-19 disease which forced the economic activities to use online medium as the main platform in doing business. The extensive usage of online data for communication has contributed to the massive increasing number of high energy consumption. It has been identified that green communication is one of the alternative approaches in reduction of energy consumption. However, there exists a gap on the application of green communication in logistics industry which is to say that little research has addressed the implementation of green communication in logistics industry. The importance of having sustainable energy sources has led towards good implementation of different techniques and methods in reducing energy consumption. As logistics industry has become the backbone of our economic activity, it is important to have a good energy saving strategy in implementing a sustainable practice. This paper highlights a review of ‘Green Communication’ (GC) application especially in the usage of communication technology as the medium, with its main objectives in the implementation of good practices towards clean energy approach. This study has gone through a systematic review focusing only on ‘Green Communication’ in order to examine the current research findings regarding GC. The findings are particularly relevant for logistics industry especially for those that involve in irresistible communication networks while preparing and implementing a good and sustainable practices. To further enhance the energy efficiency for GC networks in logistics, an integrated data-driven framework is developed and exemplarily applied on logistics industry in Malaysia. This paper proposes a framework to introduce lists of factors that contributes towards GC in logistics industry.

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Abbas. 10-10 Malaysia Science, Technology, Innovation and Economy (MYSTIE) Framework—Internet Things: Mazlan Abbas, 10 Dec 2020 (2020)

Alimi, A.M., Aouiti, C., Assali, E.A.: Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication. Neurocomputing 332(7), 29–43 (2019). https://doi.org/10.1016/j.neucom.2018.11.020CrossRef

Baraniuk, R.G.: Compressive sensing. IEEE Signal Process. Mag. 24(4), 118–121 (2007)CrossRef

Basturk, I.: Green Communication for OFDMA cellular networks with multiple antennas. Comput. Commun. 168, 93–101 (2021)CrossRef

Bojic, I., Podobnik, V., Petric, A.: Swarm-oriented mobile services: step towards green communication. Expert Syst. Appl. 39(9), 7874–7886 (2012)CrossRef

Boyle, D., Kolcun, R., Yeatman, E.: Energy-efficient communication in wireless networks. In: ICT—Energy Concepts for Energy Efficiency and Sustainability (2017). https://doi.org/10.5772/65986. https://www.intechopen.com/books/ict-energy-concepts-for-energy-efficiency-and-sustainability/energy-efficient-communication-in-wireless-networks. Accessed 22 Mar 2017

Din, S., Ahmad, A., Paul, A., Rho, S.: MGR: multi-parameter green reliable communication for Internet of Things in 5G network. J. Parall. Distrib. Comput. 118, 34–45 (2018)CrossRef

Energy Commission. Malaysia Energy Statistics Handbook 2019 (2020). https://meih.st.gov.my/documents/10620/bcce78a2-5d54-49ae-b0dc549dcacf93ae. Accessed 7 July 2021

Gandotra, P., Jha, R.K.: A survey on green communication and security challenges in 5G wireless communication networks. J. Netw. Comput. Appl. 96, 39–61 (2017)CrossRef

Gao, K., Huang, Y., Sadollah, A., Wang, L.: A review of energy‑efficient scheduling in intelligent production systems (2019)

Gu, L., Stankovic, J.A.: Radio-triggered wake-up for wireless sensor networks. Real-Time Syst. 29(2–3), 157–182 (2005)CrossRef

Hansen, A.: Environment, Media and Communication, 2nd edn. Routledge, London (2018). https://doi.org/10.4324/9781315625317

Hassan, N.U.L., Yuen, C.: Green communications in smart cities. Electronics 8(7), 773 (2019). https://doi.org/10.3390/electronics8070773CrossRef

Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy‐efficient communication protocol for wireless microsensor networks. In: 2000 Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, 10 p. IEEE (2000)

Huang, T., Yin, X., Cao, Q.: A new algorithm for considering green communication and excellent sensing performance in cognitive radio networks. Int. J. Distrib. Sens. Netw. (2020). https://doi.org/10.1177/1550147720933131CrossRef

Ismail, A.: Enhancing Innovation and Creation of Impactful Research using 10-10 MySTIE Framework (2021). http://issuu.com/. Accessed 19 Mar 2021

Jamil, S., Khan, F., Abbas, M.S., Hussain, Y.: A review of techniques and challenges in green communication. In: Conference: 2020 International Conference on Information Science and Communication Technology (ICISCT) (2020)

Khasawneh, A.M., et al.: Green communication for underwater wireless sensor networks: triangle metric based multi-layered routing protocol. Natl. Cent. Biotechnol. Inf. 20(24), 7278 (2020). https://doi.org/10.3390/s20247278CrossRef

Khosravy, M., Gupta, N., Patel, N., Dey, N., Nitta, N., Babaguchi, N.: Probabilistic stone’s blind source separation with application to channel estimation and multi-node identification in MIMO IoT green communication and multimedia systems. Comput. Commun. 157, 423–433 (2020). https://doi.org/10.1016/j.comcom.2020.04.042CrossRef

Kumar, R.N.V., Kumar, M.P.: Application of SDN for secure communication in IoT environment. Comput. Commun. 151, 60–65 (2020). https://doi.org/10.1016/j.comcom.2019.12.046CrossRef

Kumar, S., Kumar, V., Kaiwartya, O., Dohare, U., Kumar, N., Lloret, J.: Towards green communication in wireless sensor network: GA enable d distribute d zone approach. Ad Hoc Netw. 93, 101903 (2019)CrossRef

Kumar, P., Thippa, R.M., Gadekallu, R., Kaluri, R., Srivastava, G., Parizi, R.M., Khan, M.S.: Green communication in IoT networks using a hybrid optimization algorithm/Green communication in IoT networks using a hybrid optimization algorithm. Comput. Commun. 159, 97–107 (2020)CrossRef

Kumar, V., Patra, S.K.: Green Communication (2016). https://www.slideshare.net/VARUNKUMAR391/registration-seminar-on

Li, G., Li, F., Wang, T., Gui, J., Zhang, S.: Bi-adjusting duty cycle for green communications in wireless sensor networks. EURASIP J. Wirel. Commun. Netw. 2020, 166 (2020). https://doi.org/10.1186/s13638-020-01767-5CrossRef

Liu, C., Guo, J., Poignet, P.: Nonlinear model-mediated teleoperation for surgical applications under time variant communication delay. IFAC-Pap. Line 51(22), 493–499 (2018). https://doi.org/10.1016/j.ifacol.2018.11.585CrossRef

Lloret, J., Zhou, L., Gaol, F.L.: Green communications and networking. Mobile Netw. Appl. 20, 539–542 (2015). https://doi.org/10.1007/s11036-015-0641-0CrossRef

Magno, M., Boyle, D., Brunelli, D., O’Flynn, B., Popovici, E., Benini, L.: Extended wireless monitoring through intelligent hybrid energy supply. IEEE Trans. Indust. Electron. 61(4), 1871–1881 (2014)CrossRef

Marinkovic, S.J., Popovici, E.M.: Nano-power wireless wake-up receiver with serial peripheral interface. IEEE J. Sel. Areas Commun. 29(8), 1641–1647 (2011)CrossRef

Ministry of Science, Technology and Innovation. Dasar Sains, Teknologi Dan Inovasi Negara (DSTIN) 2021–2030 (2020). https://www.mosti.gov.my/en/dasar/

Mitropoulos, M.: Communications with and without technology. Ekistics 50(302), 320–322 (1983). http://www.jstor.org/stable/43621831. Accessed 5 July 2021

Mukhlif, F., Noordin, K.A., Abdulghafoor, O.B., Izam, T.F.T.M.N.: Green communication for cognitive radio networks based on game and utility-pricing theories. PLoS ONE (2020). https://doi.org/10.1371/journal.pone.0235953CrossRef

Patra, N.K.: Digital Disruption and Electronic Resource Management in Libraries. Elsevier, Amsterdam (2017)

Popovski, P., Krigslund, R., Manev, B., Pedersen, G.F.: Green communication: where can it really help and how it is related to RFID. In: The 12th International Symposium on Wireless Personal Multimedia Communications (WPMC 2009) (2009). https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.618.8966&rep=rep1&type=pdf

Premalatha, J., Anitha, U., Manonmani, V., Ganesan, P.: Survey on energy saving methods for green communication network. Indian J. Sci. Technol. 8(19) (2015). https://doi.org/10.17485/ijst/2015/v8i19/66763

Rahman, K.A., Leman, A.M., Mubin, M.F., Yusof, M.Z.M., Hariri, A., Salleh, M.N.M.: Energy consumption analysis based on energy efficiency approach: a case of suburban area. MATEC Web Conf. 87, 02003 (2017). https://doi.org/10.1051/matecconf/20178702003CrossRef

Rapoport, A.: The Meaning of the Built Environment a Nonverbal Communication Approach. University of Arizona, Tucson, Arizona (1990). https://books.google.com.my/books?hl=en&lr=&id=bn_7_UFAbdUC&oi=fnd&pg=PA9&dq=communication+and+environment&ots=uEkNV8bxT3&sig=hlV3PRy5UuYIVtnyaCwKoM5hWpk#v=onepage&q=communication%20and%20environment&f=false

Raza, U., Camerra, A., Murphy, A.L., Palpanas, T., Picco, G.P.: What does model‐driven data acquisition really achieve in wireless sensor networks? In: 2012 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 85–94. IEEE (2012)

Renee, M.: Cost-effective telecommunications. CHRON Newslett. (n.d.). https://smallbusiness.chron.com/costeffective-telecommunications-32778.html

Sasikiran, S., Padmavath, N.: Green communication: an emerging telecommunication technology-its research challenges, techniques and applications. In: Kaushik, S., Gupta, D., Kharb, L., Chahal, D. (eds.) Information, Communication and Computing Technology, Chapter 8. Springer, Cham (2017)

Singh, N., Kumar, S., Kanaujia, B.K., Beg, M.T., Mainuddin, K.S.: A compact and efficient graphene FET based RF energy harvester for green communication. AEU. Int. J. Electron. Commun. 115, 153059 (2020). https://doi.org/10.1016/j.aeue.2019.153059CrossRef

Songhurst, D.J.: Charging communication networks from theory to practice. Science (1999). https://doi.org/10.1016/B978-0-444-50275-9.X5000-5CrossRef

Srivastava, A., Gupta, M.S., Kaur, G.: Impact of artificial intelligence on future green communication. In: Artificial Intelligence to Solve Pervasive Internet of Things Issues, Chapter 1, pp. 1–12. Academic Press, New York (2021). ISBN: 9780128185766, https://doi.org/10.1016/B978-012-818576-6.00001-0

The World Bank Data. Electric power consumption (kWh per capita)—Malaysia (2021). https://data.worldbank.org/indicator/EG.USE.ELEC.KH.PC?end=2014&locations=MY&start=1971. Accessed 7 July 2021

Tian, G., Ren, Y., Feng, Y., Zhou, M.C., Zhang, H., Tan, J.: Modeling and planning for dual-objective selective disassembly using AND/OR graph and discrete artifcial bee colony. IEEE Trans. Ind. Inform. 15, 2456–2468 (2019)CrossRef

Vereecken, W., Heddeghem, W.V., Colle, D., Pickavet, M., Demeester, P.: Overall ICT footprint and green communication technologies. In: Proceedings of the 4th International Symposium on Communications, Control and Signal Processing, ISCCSP 2010, LimasBol, Cyprus, 3–5 Mar 2010 (2010)

Vinay, M., Rudresh Y.R.: A review on green communications. Int. J. Eng. Res. Technol. 6(13) (2018)

World Data. Energy Consumption in Malaysia. worlddata.info (2021). https://www.worlddata.info/asia/malaysia/energy-consumption.php/. Accessed 7 July 2021

World Economic Forum. The Global Risks Report 2021. https://www.weforum.org/reports/the-global-risks-report-2021(2021). Accessed 19 Jan 2021

Wu, Q., Li, G.Y., Chen, W., Ng, D.W.K., Schober, R.: An overview of sustainable green 5G networks. Comput. Sci. Inf. Theory. arXiv:1609.09773 (2016)

Wu, Y., Zhou, F., Li, Z., Zhang, S., Chu, Z., Gerstacker, W.H.: Green communication and networking. Wirel. Commun. Mob. Comput. 2018, 1921353 (2018). https://doi.org/10.1155/2018/192135. Strategic Partners, Marsh McLennan, SK Group Zurich Insurance Group: The Global Risks Report 2021, 16th edn (2021)

Yan, Z., Shi, R., Yang, Z.: ICT Development and sustainable energy consumption: a perspective of energy productivity. Sustainability 10, 2568 (2018). https://doi.org/10.3390/su10072568CrossRef

Ye, W., Heidemann, J., Estrin, D.: An energy‐efficient mac protocol for wireless sensor networks. In: Proceedings of the Twenty‐First Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2002), vol. 3, pp. 1567–1576. IEEE (2002)

You, I., Pau, G., Wei, W., Fung, C.: Green communications on wireless networks. IEEE Access 8, 187140–187145 (2020). https://www.researchgate.net/publication/344862342_GREEN_COMMUNICATIONS_ON_WIRELESS_NETWORKS

Zhang, B., Chen, D.: Resource scheduling of green communication network for large sports events based on edge computing. Author links open overlay panel. Comput. Commun. 159, 299–309 (2020)CrossRef

Zhang, H., Gladisch, A., Pickavet, M., Tao, Z., Mohr, W.: Energy efficiency in communications. IEEE Commun. Mag. 48, 48–49 (2010). https://doi.org/10.1109/MCOM.2010.5621966CrossRef

Title: The Proclivity of Green Communication for Logistics Industry: A Framework
Authors: Tengku Nurul Aishah Tengku Aziz
Shahirah Sharifuddin
S. Sarifah Radiah Shariff
Publisher: Springer International Publishing
Book: Impact of Artificial Intelligence, and the Fourth Industrial Revolution on Business Success
Print ISBN: 978-3-031-08092-0

Electronic ISBN: 978-3-031-08093-7

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-08093-7_46

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