{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:14:15Z","timestamp":1760382855379,"version":"build-2065373602"},"reference-count":41,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T00:00:00Z","timestamp":1605052800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Nowadays with the evolution of Internet of Things (IoT), building a network of sensors for measuring data from remote locations requires a good plan considering a lot of parameters including power consumption. A Lot of communication technologies such as WIFI, Bluetooth, Zigbee, Lora, Sigfox, and GSM\/GPRS are being used based on the application and this application will have some requirements such as communication range, power consumption, and detail about data to be transmitted. In some places, especially the hilly area like Rwanda and where GSM connectivity is already covered, GSM\/GPRS may be the best choice for IoT applications. Energy consumption is a big challenge in sensor nodes which are specially supplied by batteries as the lifetime of the node and network depends on the state of charge of the battery. In this paper, we are focusing on static sensor nodes communicating using the GPRS protocol. We acquired current consumption for the sensor node in different locations with their corresponding received signal quality and we tried to experimentally find a mathematical data-driven model for estimating the GSM\/GPRS sensor node battery lifetime using the received signal strength indicator (RSSI). This research outcome will help to predict GPRS sensor node life, replacement intervals, and dynamic handover which will in turn provide uninterrupted data service. This model can be deployed in various remote WSN and IoT based applications like forests, volcano, etc. Our research has shown convincing results like when there is a reduction of \u221230 dBm in RSSI, the current consumption of the radio unit of the node will double.<\/jats:p>","DOI":"10.3390\/info11110524","type":"journal-article","created":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T20:29:36Z","timestamp":1605040176000},"page":"524","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["GPRS Sensor Node Battery Life Span Prediction Based on Received Signal Quality: Experimental Study"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4601-7137","authenticated-orcid":false,"given":"Joseph","family":"Habiyaremye","sequence":"first","affiliation":[{"name":"African Center of Excellence in Internet of Things, College Of Science and Technology, University of Rwanda, Kigali 4285, Rwanda"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0578-0830","authenticated-orcid":false,"given":"Marco","family":"Zennaro","sequence":"additional","affiliation":[{"name":"Abdus Salam International Centre for Theoretical Physics (ICTP), Strada Costiera, 11, I-34151 Trieste, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0163-8412","authenticated-orcid":false,"given":"Chomora","family":"Mikeka","sequence":"additional","affiliation":[{"name":"Department of Physics, University of Malawi, P.O. Box 280, Zomba, Malawi"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0894-4909","authenticated-orcid":false,"given":"Emmanuel","family":"Masabo","sequence":"additional","affiliation":[{"name":"African Center of Excellence in Internet of Things, College Of Science and Technology, University of Rwanda, Kigali 4285, Rwanda"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Santhi","family":"Kumaran","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Copperbelt University, P.O. Box 21692, Kitwe, Zambia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6160-1374","authenticated-orcid":false,"given":"Kayalvizhi","family":"Jayavel","sequence":"additional","affiliation":[{"name":"Department of Information Technology, School of Computing, SRM Institute of Science and Technology, Chennai 603203, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,11]]},"reference":[{"key":"ref_1","unstructured":"Pietrosemoli, E. (February, January 21). IoT Planning and Deployment. Proceedings of the Workshop on Rapid Prototyping of Internet of Things Solutions, Science Trieste, Trieste, Italy."},{"key":"ref_2","unstructured":"(2020, October 28). Prepaid Data SIM Card Wiki Home Page. Available online: https:\/\/prepaid-data-sim-card.fandom.com\/wiki\/Rwanda."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Rodrigues, L.M., Montez, C., Budke, G., Vasques, F., and Portugal, P. (2017). Estimating the Lifetime of Wireless Sensor Network Nodes through the Use of Embedded Analytical Battery Models. J. Sens. Actuator Netw., 6.","DOI":"10.3390\/jsan6020008"},{"key":"ref_4","unstructured":"Park, C., Lahiri, K., and Raghunathan, A. (2005, January 26\u201329). Battery discharge characteristics of wireless sensor nodes: An experimental analysis. Proceedings of the 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, Santa Clara, CA, USA."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Engmann, F., Katsriku, F.A., Abdulai, J., Adu-Manu, K.S., and Banaseka, F.K. (2018). Prolonging the Lifetime of Wireless Sensor Networks A Review of Current Techniques. Wirel. Commun. Mob. Comput., 2018.","DOI":"10.1155\/2018\/8035065"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Jurenoks, A., and Novickis, L. (2017, January 4\u20136). Analysis of wireless sensor network structure and life time affecting factors. Proceedings of the 2017 Communication and Information Technologies (KIT), Vysoke Tatry.","DOI":"10.23919\/KIT.2017.8109448"},{"key":"ref_7","unstructured":"Roseline, R.A., and Sumathi, P. (2020, October 28). Energy Efficient Routing Protocols and Algorithms for Wireless Sensor Networks\u2014A Survey. Available online: https:\/\/www.semanticscholar.org\/paper\/Energy-Efficient-Routing-Protocols-and-Algorithms-%E2%80%93-Roseline-Sumathi\/47810c18daf877a756a3adea891d2cdafe45d94c."},{"key":"ref_8","unstructured":"Aderohunmu, F.A., Paci, G., Brunelli, D., Deng, J., and Benini, L. (2020, October 28). Prolonging the Lifetime of Wireless Sensor Networks Using Light-Weight Forecasting Algorithms. Available online: https:\/\/www.semanticscholar.org\/paper\/Energy-Efficient-Routing-Protocols-and-Algorithms-https:\/\/ieeexplore.ieee.org\/document\/6529834."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1145\/2494232.2466586","article-title":"Characterizing and modeling the impact of wireless signal strength on smartphone battery drain","volume":"41","author":"Ding","year":"2013","journal-title":"ACM SIGMETRICS Perform. Eval. Rev."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Chapre, Y., Mohapatray, P., Jha, S., and Seneviratne, A. (2013, January 21\u201324). Received Signal Strength Indicator and Its Analysisin a Typical WLAN System (Short Paper). Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, Sydney, Australia.","DOI":"10.1109\/LCN.2013.6761255"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Chang, C. (2019). Factors Affecting Capacity Design of Lithium Ion Stationary Batteries. Batteries, 5.","DOI":"10.3390\/batteries5030058"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Banguero, E., Correcher, A., P\u00e9rez-Navarro, \u00c1., Morant, F., and Aristizabal, A. (2018). A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems. Energies, 11.","DOI":"10.20944\/preprints201803.0205.v1"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.ifacol.2016.12.005","article-title":"Adaptive Method for Assessing the Life Expectancy of a Wireless Sensor Network in Smart Environments Applications","volume":"49","author":"Jurenoks","year":"2016","journal-title":"IFAC PapersOnLine"},{"key":"ref_14","first-page":"259","article-title":"An Enhancement Approach for Reducing the Energy Consumption in Wireless Sensor Networks","volume":"30","author":"Elshrkawey","year":"2018","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1049\/iet-wss.2017.0099","article-title":"Energy efficient modified LEACH protocol for IoT application","volume":"8","author":"Behera","year":"2017","journal-title":"IET Wirel. Sens. Syst."},{"key":"ref_16","first-page":"4661","article-title":"Low energy adaptive clustering hierarchy in wireless sensor network (LEACH)","volume":"5","author":"Yadav","year":"2014","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1109\/ACCESS.2016.2532745","article-title":"Greener and Smarter Phones for Future Cities: Characterizing the Impact of GPS Signal Strength on Power Consumption","volume":"4","author":"Tawalbeh","year":"2016","journal-title":"IEEE Access"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Balasubramanian, N., Balasubramanian, A., and Venkataramani, A. (2009, January 4\u20136). Energy Consumption in Mobile Phones: A Measurement Study and Implications for Network Applications. Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement, Chicago, IL, USA.","DOI":"10.1145\/1644893.1644927"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Kanani, P., and Padole, M. (2020, January 13\u201315). Real-time Location Tracker for Critical Health Patient using Arduino, GPS Neo6m and GSM Sim800L in Health Care. Proceedings of the 4th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.","DOI":"10.1109\/ICICCS48265.2020.9121128"},{"key":"ref_20","first-page":"9170","article-title":"Development of fault diagnosis system for wind power planetary transmission based on labview","volume":"2019","author":"Yang","year":"2019","journal-title":"J. Eng."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Wang, L., Tan, Y., and Cui, X. (2012). The Application of LabVIEW in Data Acquisition System of Solar Absorption Refrigerator. Adv. Mater. Res., 16.","DOI":"10.1016\/j.egypro.2012.01.235"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Puckdeevongs, A., Tripathi, N.K., Witayangkurn, A., and Saengudomlert, P. (2020). Classroom Attendance Systems Based on Bluetooth Low Energy Indoor Positioning Technology for Smart Campus. Information, 11.","DOI":"10.3390\/info11060329"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Nayan, N.P.M.Y., Hassan, M.F., and Subhan, F. (2014, January 3\u20135). Filters for device-free indoor localization system based on RSSI measurement. Proceedings of the 2014 International Conference on Computer and Information Sciences (ICCOINS), Kuala Lumpur, Malaysia.","DOI":"10.1109\/ICCOINS.2014.6868386"},{"key":"ref_24","first-page":"2719576","article-title":"Indoor localisation based on GSM signals: Multistorey building study","volume":"2016","author":"Gorak","year":"2016","journal-title":"Mob. Inf. Syst."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Dolha, S., Negirla, P., Alexa, F., and Silea, I. (2019). Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation. Sensors, 19.","DOI":"10.3390\/s19194179"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"6444","DOI":"10.1109\/TVT.2015.2479591","article-title":"The Impact of Weather Condition on Radio-Based Distance Estimation: A Case Study in GSM Networks With Mobile Measurements","volume":"65","author":"Fang","year":"2016","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Nekrasov, M., Allen, R., Artamonova, I., and Belding, E. (2019). Optimizing 802.15.4 Outdoor IoT Sensor Networks for Aerial Data Collection. Sensors, 19.","DOI":"10.3390\/s19163479"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Xie, T., Jiang, H., Zhao, X., and Zhang, C. (2019). A Wi-Fi-Based Wireless Indoor Position Sensing System with Multipath Interference Mitigation. Sensors, 19.","DOI":"10.3390\/s19183983"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Sasiwat, Y., Jindapetch, N., Buranapanichkit, D., and Booranawong, A. (2019, January 19\u201322). An Experimental Study of Human Movement Effects on RSSI Levels in an Indoor Wireless Network. Proceedings of the 12th Biomedical Engineering International Conference (BMEiCON), Ubon Ratchathani, Thailand.","DOI":"10.1109\/BMEiCON47515.2019.8990208"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2531","DOI":"10.1109\/JSEN.2018.2795747","article-title":"A system for detection and tracking of human movements using RSSI signals","volume":"8","author":"Booranawong","year":"2018","journal-title":"IEEE Sens. J."},{"key":"ref_31","unstructured":"(2020, June 11). Factor Affecting RSSI. Available online: http:\/\/www.celtrio.com\/."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Nguyen, N.M., Tran, L.C., Safaei, F., Phung, S.L., Vial, P., Huynh, N., Cox, A., Harada, T., and Barthelemy, J. (2019). Performance Evaluation of Non-GPS Based Localization Techniques under Shadowing Effects. Sensors, 19.","DOI":"10.3390\/s19112633"},{"key":"ref_33","unstructured":"Shojaifar, A. (2020, October 28). Evaluation and Improvement of the RSSI-Based Localization Algorithm. Available online: https:\/\/www.diva-portal.org\/smash\/get\/diva2:844785\/FULLTEXT03.pdf."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Subhan, F., Khan, A., Saleem, S., Ahmed, S., Imran, M., Asghar, Z., and Bangash, J.I. (2019). Experimental analysis of received signals strength in Bluetooth Low Energy (BLE) and its effect on distance and position estimation. Trans. Emerg. Telecommun. Technol.","DOI":"10.1002\/ett.3793"},{"key":"ref_35","unstructured":"(2020, May 12). M2MSupport Home Page. Available online: https:\/\/m2msupport.net\/m2msupport\/signal-quality\/."},{"key":"ref_36","unstructured":"(2020, May 02). GPRS with Arduino. Available online: https:\/\/hackaday.io\/project\/27538-remote-data-collection-using-free-gprs."},{"key":"ref_37","unstructured":"(2020, May 19). Why Low Signal Strength Drains More Power; Smartphones Signals and Power Consumption Explained. Available online: https:\/\/www.techapprise.com\/social\/why-low-signal-strength-drains-more-power-smartphones-signals-power-consumption-explained\/."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1016\/S1389-1286(00)00127-4","article-title":"Understanding GPRS: The GSM packet radio service","volume":"34","author":"Ghribi","year":"2000","journal-title":"Comput. Netw."},{"key":"ref_39","unstructured":"Toorisaka, W., Hasegawa, G., and Murata, M. (2012, January 25\u201330). Power Consumption Analysis of Data Transmission in IEEE 802.11 Multi-hop Networks. Proceedings of the ICNS 2012: The Eighth International Conference on Networking and Servicess, St. Maarten, Netherlands Antilles."},{"key":"ref_40","first-page":"15","article-title":"Power Supply Issues in Battery Reliant Wireless Sensor Networks: A Review","volume":"19","author":"Guo","year":"2014","journal-title":"Int. J. Intell. Control. Syst."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Beal, L.D.R., Hill, D.C., Martin, R.A., and Hedengren, J.D. (2018). GEKKO Optimization Suite. Processes, 6.","DOI":"10.3390\/pr6080106"}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/11\/11\/524\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:31:51Z","timestamp":1760178711000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/11\/11\/524"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,11]]},"references-count":41,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2020,11]]}},"alternative-id":["info11110524"],"URL":"https:\/\/doi.org\/10.3390\/info11110524","relation":{},"ISSN":["2078-2489"],"issn-type":[{"type":"electronic","value":"2078-2489"}],"subject":[],"published":{"date-parts":[[2020,11,11]]}}}