The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
A Survey on Energy Efficient Narrowband Internet of Things (NBIoT): Architecture, Application and Challenges
Open accessAbstract
The advancement of technologies over years has poised Internet of Things (IoT) to scoop out untapped information and communication technology opportunities. It is anticipated that IoT will handle the gigantic network of billions of devices to deliver plenty of smart services to the users. Undoubtedly, this will make our life more resourceful but at the cost of high energy consumption and carbon footprint. Consequently, there is a high demand for green communication to reduce energy consumption, which requires optimal resource availability and controlled power levels. In contrast to this, IoT devices are constrained in terms of resources-memory, power, and computation. Low power wide area (LPWA) technology is a response to the need for efficient utilization of power resource, as it evinces characteristics such as the capability to proffer low power connectivity to a huge number of devices spread over wide geographical areas at low cost. Various LPWA technologies, such as LoRa and SigFox, exist in the market, offering a proficient solution to the users. However, in order to abstain the need of new infrastructure (like base station) that is required for proprietary technologies, a new cellular-based licensed technology, narrowband IoT (NBIoT), is introduced by 3GPP in Rel-13. This technology presents a good candidature to handle LPWA market because of its characteristics like enhanced indoor coverage, low power consumption, latency insensitivity, and massive connection support towards NBIoT. This survey presents a profound view of IoT and NBIoT, subsuming their technical features, resource allocation, and energy-efficiency techniques and applications. The challenges that hinder the NBIoT path to success are also identified and discussed. In this paper, two novel energy-efficient techniques “zonal thermal pattern analysis” and energy-efficient adaptive health monitoring system have been proposed towards green IoT.
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Cites
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
The internet of things: a survey
Li, S., Xu, L. D., & Zhao, S. (2015) · Information Systems Frontiers · doi:10.1007/s10796-014-9492-7 · Cited by 2,297
Low power wide area networks: an overview
Raza, U., Kulkarni, P., & Sooriyabandara, M. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2652320 · Cited by 2,047
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
Kussul, N., Lavreniuk, M., Skakun, S., & Shelestov, A. (2017) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2017.2681128 · Cited by 1,786
A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges
Akpakwu, G. A., Silva, B. J., Hancke, G. P., & Abu-Mahfouz, A. M. (2018) · IEEE Access · doi:10.1109/access.2017.2779844 · Cited by 1,293
A survey on LPWA technology: LoRa and NB-IoT
Sinha, R. S., Wei, Y., & Hwang, S.-H. (2017) · ICT Express · doi:10.1016/j.icte.2017.03.004 · Cited by 1,020 · cited 1×
“However, as LoRa operates in unlicensed spectrum thus could not provide QoS and neither it could support dense network as it employs MAC based ALOHA protocol [33].”
MethodEnergy efficiency in wireless sensor networks: A top-down survey
Rault, T., Bouabdallah, A., & Challal, Y. (2014) · Computer Networks · doi:10.1016/j.comnet.2014.03.027 · Cited by 908
A Primer on 3GPP Narrowband Internet of Things
Wang, Y.-P. E., Lin, X., Adhikary, A., Grovlen, A., Sui, Y., Blankenship, Y., Bergman, J., & Razaghi, H. S. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600510cm · Cited by 795
Green Internet of Things for Smart World
Zhu, C., Leung, V. C. M., Shu, L., & Ngai, E. C.-H. (2015) · IEEE Access · doi:10.1109/access.2015.2497312 · Cited by 494
Cited by
IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges
Quy, V. K., Hau, N. V., Anh, D. V., Quy, N. M., Ban, N. T., Lanza, S., Randazzo, G., & Muzirafuti, A. (2022) · Applied Sciences · doi:10.3390/app12073396 · Cited by 458
Metadata
- Authors
- Popli, S., Jha, R. K., & Jain, S.
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 16739-16776
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2900989188
- Cited by
- 325
- References
- 69
- FWCI
- 13.55
- Type
- journal article
- Language
- en
- Open access
- gold
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