Abstract
In future, the objects such as vehicles, smartphones, watches and electronic devices will be able to automate the tasks along with ubiquitous communication capabilities. Saving and reducing energy is challenging research area. Various energy saving approaches and techniques motivates researchers towards Green-Internet of Things (G-IoT). A smart word ubiquitously gathers and disseminates the information using various existing protocols. Modern applications demands energy efficient devices and protocols for G-IoT. Most of the time the emergency service applications are at remote places and their lifetime is a crucial part of the IoT enabled devices and applications. In modern applications, the multimedia information is a vital part in communication. Sensing and communication of multimedia information needs to be controlled in efficient way to achieve better performance and energy saving. In this chapter various techniques and approaches used for energy saving in Green-Internet of Things (G-IoT) are discussed in detail. This chapter discusses the various vital applications of IoT (Internet of Things) such as border security and battlefield systems. This paper also elaborates the energy saving approaches and techniques proposed by various researchers for such applications for ubiquitous environments. The broad classification of the applications of Internet of Things and the approaches used for energy saving are elaborated.
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Yaqub, M.A., Khan, M.T.R., Ahmed, S.H., Kim, D.: Receiver-initiated dynamic duty cycle scheduling schemes for underwater wireless sensor networks. In: 2018 15th IEEE annual consumer communications & networking conference (CCNC), pp. 1–6. IEEE, Jan 2018
Kim, T., Min, H., Jung, J.: A mobility-aware adaptive duty cycling mechanism for tracking objects during tunnel excavation. Sensors 17(3), 435 (2017)
Wang, X., Wang, S., Ma, J., Sun, X.: Energy-aware scheduling of surveillance in wireless multimedia sensor networks. Sensors 10(4), 3100–3125 (2010)
Ye, D., Zhang, M.: A self-adaptive sleep/wake-up scheduling approach for wireless sensor networks. IEEE Trans. Cybern. 48(3), 979–992 (2017)
Gao, W., Li, Q.: Wakeup scheduling for energy-efficient communication in opportunistic mobile networks. In: 2013 Proceedings IEEE INFOCOM, pp. 2058–2066. IEEE, Apr 2013
Nazir, B., Hasbullah, H., Madani, S.A.: Sleep/wake scheduling scheme for minimizing end-to-end delay in multi-hop wireless sensor networks. EURASIP J. Wirel. Commun. Netw. 2011(1), 92 (2011)
Zhou, H., Zhao, H., Chen, J., Liu, C.H., Fan, J.: Adaptive working schedule for duty-cycle opportunistic mobile networks. IEEE Trans. Veh. Technol. 63(9), 4694–4703 (2014)
Carrano, R.C., Passos, D., Magalhães, L.C., Albuquerque, C.V.: A comprehensive analysis on the use of schedule-based asynchronous duty cycling in wireless sensor networks. Ad Hoc Netw. 16, 142–164 (2014)
Borawake-Satao, R., Prasad, R.: Comprehensive survey on effect of mobility over routing issues in wireless multimedia sensor networks. Int. J. Pervasive Comput. Commun. 12(4), 447–465 (2016)
Borawake-Satao, R., Prasad, R.: Mobility aware path discovery for efficient routing in wireless multimedia sensor network. In: Proceedings of the International Conference on Data Engineering and Communication Technology, pp. 673–681. Springer, Singapore (2017)
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Borawake-Satao, R., Prasad, R. (2020). Green Internet of Things Schemes and Techniques for Adaptive Energy Saving in Emergency Services. In: Dey, N., Mahalle, P., Shafi, P., Kimabahune, V., Hassanien, A. (eds) Internet of Things, Smart Computing and Technology: A Roadmap Ahead. Studies in Systems, Decision and Control, vol 266. Springer, Cham. https://doi.org/10.1007/978-3-030-39047-1_8
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DOI: https://doi.org/10.1007/978-3-030-39047-1_8
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