Abstract
Green computing mode becomes a social concern in recently years. Consequently people have higher demand for Bluetooth device with lower power consumption. In this paper, a green energy consumption policy (ECP) of battery of Bluetooth devices during data transmission was put forward. ECP extracted detail information from four key configuration parameters during Bluetooth data transmission, namely, transmission mode, connection type, packet type and communication rate. Based on the verification data time, verification data transmission time and Bluetooth package time acquired by the computer processor unit, it calculated the battery energy consumption during equipment idle. Moreover, it calculated the actual transmission data and energy consumption according to the data size of the transmitted document. A simulation analysis on ECP was carried out in this paper. Results showed that ECP could estimate energy consumption for document transmission in the independent Bluetooth communication module.
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Bluetooth Sig, Core Specifications of Bluetooth V5.0, [EB/OL]. http://www.bluetooth.com. Accessed 09 Dec 2016
Chen Z, Zhang Y, Wu C, Ran B (2019) Understanding individualization driving states via latent Dirichlet allocation model. IEEE Intell Transp Syst Mag 11(2):41–53
Dong L, Guo Q, Wu W (2019) Speech corpora subset selection based on time-continuous utterances features. J Comb Optim 37(4):1237–1248
Wei W, Su J, Song H, Wang H, Fan X (2018) CDMA-based anti-collision algorithm for EPC global C1 Gen2 systems. Telecommun Syst 67(3):1–9
Ke Q, Zhang J, Wozniak M, Wei W (2019) The phase and shift-invariant feature by adaptive independent subspace analysis for cortical complex cells? Inf Technol Control 48(1):58–70
Chang KH (2014) Bluetooth: a viable solution for IoT. IEEE Wirel Commun 21(6):6–7
Laine TH, Lee C, Suk H (2014) Mobile gateway for ubiquitous health care system using ZigBee and Bluetooth. In: Proceedings—2014 8th international conference on innovative mobile and internet services in ubiquitous computing, IMIS 2014, pp 139–145
Friesen MR, McLeod RD (2015) Bluetooth in intelligent transportation systems: a survey. Int J Intell Transp Syst Res 13(3):143–153
Mackensen E, Lai M, Wendt TM (2012) Performance analysis of an Bluetooth Low Energy sensor system. In: 2012 IEEE 1st international symposium on wireless systems, 2012, pp 62–66
Rebeiz E, Caire G, Molisch AF (2012) Energy-delay tradeoff and dynamic sleep switching for bluetooth-like body-area sensor networks. IEEE Trans Commun 60(9):2733–2746
Liu J, Chen C, Ma Y (2012) Modeling and performance analysis of device discovery in bluetooth low energy networks. In: IEEE GLOBECOM 2012, pp 1538–1543
Ekström MC, Bergblomma M, Lindén M (2012) A bluetooth radio energy consumption model for low-duty-cycle applications. IEEE Trans Instrum Meas 61(3):609–617
Wu Y, Li X-Y, Liu Y, Lou W (2010) Energy-efficient wake-up scheduling for data collection and aggregation. IEEE Trans Parallel Distrib Syst 21(2):275–287
Seo J, Cho K, Cho W, Park G, Han K (2016) A discovery scheme based on carrier sensing in self-organizing Bluetooth low energy networks. J Netw Comput Appl 65:72–83
Cho K, Park G, Cho W, Seo J, Han K (2016) Performance analysis of device discovery of Bluetooth Low Energy (BLE) networks. Comput Commun 81:72–85
Draa IC, Niar S, Tayeb J, Grislin E (2017) Sensing user context and habits for run-time energy optimization. Eurasip J Embed Syst 2017:84–92
Boukhechba M, Bouzouane A, Gaboury S, Gouin-Vallerand C, Giroux S, Bouchard B (2017) A novel Bluetooth low energy based system for spatial exploration in smart cities. Expert Syst Appl 77:71–82
Chong JW, Hwang HY, Jung CY et al (2007) Analysis of throughput and energy consumption in a zigbee network under the presence of bluetooth interference. In: IEEE GLOBECOM 2007, Washington, DC, USA, pp 4749–4753
Taghizadeh M (2011) Mobility-aware cooperative content caching in social wireless networks. In: The 8th IEEE international conference on mobile ad hoc and sensor systems, MASS 2011, 2011, pp 678–684
Xue W, Zhihong Q, Bing L (2011) Adaptive packet selection scheme and selective retransmission algorithm for Bluetooth. J Commun 32(1):151–158 (in Chinese)
Martello S, Toth P (1990) Knapsack problems: algorithms and computer implementations. Wiley, Hoboken
Acknowledgements
This work is supported by National Natural Science Foundation of China No. 61379057, Natural Science Foundation of Hunan Province Nos. 2018JJ2459 and 2019JJ40326, Excellent Youth Project of the Educational Department of Hunan Province of China under Grant No. 18B410, Changsha Science and Technology Plan under Grant No. kc18099013.
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Ye, H., Li, F., Liu, Z. et al. A green energy consumption policy of Bluetooth mobile devices for smart cities. Computing 102, 1077–1091 (2020). https://doi.org/10.1007/s00607-019-00765-w
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DOI: https://doi.org/10.1007/s00607-019-00765-w