Green Internet of Things and Machine Learning

30. López, T.S. et al ., Adding sense to the IOT-An architecture framework for smart object systems. Pers. Ubiquit. Comput ., 16, 3, 291–308, Mar. 2012.

31. Gershenfeld, N., Krikorian, R., Cohen, D., The Internet of Things. Sci. Am ., 291, 4, 76–81, 2004.

32. Murugesan, S., Harnessing green IT: Principles and practices. IEEE IT Prof ., 10, 1, 24–33, Jan.-Feb. 2008.

33. Xu, L.D., He, W., Li, S., Internet of Things in industries: A survey. IEEE Trans. Ind. Inf ., 10, 4, 2233–2243, Nov. 2014.

34. Perera, C., Liu, C.H., Jayawardena, S., The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey. IEEE Trans. Emerg. Topics Comput ., 3, 4, 2015.

35. Zhu, C., Leung, V.C.M., Shu, L., Ngai, E.C.-H., Green Internet of Things for Smart World. IEEE Access , 3, 2151–2162, 2015.

36. Rose, K., Eldridge, S., Chapin, L., The Internet of Things (IoT): An Overview, Understanding the issues of more connected world , Karen Rose, Scott Eldridge, Lyman Chapin, Internet Society, 2015.

37. Gershenfeld, N., Krikorian, R., Cohen, D., The Internet of Things. Sci. Am ., 291, 4, 76–81, 2004.

38. Rawashdeh, S., Eyadat, W., Magableh, A., Mardini, W., Yasin, M.B., Sustainable Smart World. 10th International Conference on Information and Communication Systems (ICICS) , 2019.

39. Albreem, M.A.M., El-Saleh, A.A., Isa, M., Salah, W., Jusoh, M., Azizan, M.M., Ali, A., Green internet of things (IoT): An overview. IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA) , 2017.

40. Poongodi, T., Ramya, S.R., Suresh, P., Balusamy, B., Application of IoT in Green Computing, Advances in Greener Energy Technologies , Springer Singapore, 2020.

41. Lohan, V. and Singh, R.P., Research challenges for Internet of Things: A review. International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) , 2017.

42. Haldorai, A., Ramu, A., Murugan, S., Computing and Communication Systems in Urban Development , Urban Computing, Springer Nature Switzerland AG, 2019.

43. Mohana Sundaram, K., Hussain, A., Sanjeevikumar, P., Holm-Nielsen, J.B., Kaliappan, V.K., Kavya Santhoshi, B., Deep Learning for Fault Diagnostics in Bearings, Insulators, PV Panels, Power Lines, and Electric Vehicle Applications—The State-of-the-Art Approaches. IEEE Access , 9, 4124641260, 2021.

1 * Corresponding author: k.verma2006@gmail.com

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