Smart City Gnosys

Smart city article details

Title	A Roadmap Towards Energy-Efficient Data Fusion Methods In The Internet Of Things
ID_Doc	4324
Authors	Pourghebleh B.; Hekmati N.; Davoudnia Z.; Sadeghi M.
Year	2022
Published	Concurrency and Computation: Practice and Experience, 34, 15
DOI	http://dx.doi.org/10.1002/cpe.6959
Abstract	Nowadays, with the rapid progress of Internet-based and distributed systems such as cloud computing, peer-to-peer networking, and Internet of Things (IoT), significant improvements in almost every engineering and commercial field have been made. On the basis of IoT, smart cities are formed utilizing intelligent information processing, universal connectivity, ubiquitous sensing, and real-time monitoring. Energy conservation is one of the significant issues in current IoT development due to the poor battery endurance of IoT objects. Over the last years, with smart cities' explosive growth, a huge range of studies regarding energy efficiency have been done. The diversity of sparse data and multi-sourcing is utilized in developing IoT scenarios. In order to use efficiently of these data to improve the IoT services, data fusion plays an important role. It saves network resources, improves data transmission efficiency, and extracts useful information from raw data. To the best of our knowledge, there is still a lack of a comprehensive and systematic study about surveying and analyzing the available energy-efficient data fusion techniques in the IoT. Thus, this article aims to address this gap using a systematic method. © 2022 John Wiley & Sons, Ltd.
Author Keywords	data fusion; energy efficiency; Internet of Things; survey; systematic review

Similar Articles

Id	Similarity	Authors	Title	Published
25051	0.911	Darabkh K.A.; Al-Akhras M.	Evolutionary Cost Analysis And Computational Intelligence For Energy Efficiency In Internet Of Things-Enabled Smart Cities: Multi-Sensor Data Fusion And Resilience To Link And Device Failures	Smart Cities, 8, 2 (2025)
5243	0.909	Cengiz B.; Adam I.Y.; Ozdem M.; Das R.	A Survey On Data Fusion Approaches In Iot-Based Smart Cities: Smart Applications, Taxonomies, Challenges, And Future Research Directions	Information Fusion, 121 (2025)
17221	0.89	Alam F.; Mehmood R.; Katib I.; Albogami N.N.; Albeshri A.	Data Fusion And Iot For Smart Ubiquitous Environments: A Survey	IEEE Access, 5 (2017)
8741	0.886	Fawzy D.; Moussa S.M.; Badr N.L.	An Iot-Based Resource Utilization Framework Using Data Fusion For Smart Environments	Internet of Things (Netherlands), 21 (2023)
14138	0.885	Wang M.; Perera C.; Jayaraman P.P.; Zhang M.; Strazdins P.; Shyamsundar R.K.; Ranjan R.	City Data Fusion: Sensor Data Fusion In The Internet Of Things	The Internet of Things: Breakthroughs in Research and Practice (2017)
48380	0.881	Ebadati E O.M.; Sadat Rasoul S.M.; Yaeghoobi K.; Hadadi F.	Sensing, Communication With Efficient And Sustainable Energy: An Iot Framework For Smart Cities	Green Energy and Technology (2022)
8925	0.878	Krishnamurthi R.; Kumar A.; Gopinathan D.; Nayyar A.; Qureshi B.	An Overview Of Iot Sensor Data Processing, Fusion, And Analysis Techniques	Sensors (Switzerland), 20, 21 (2020)
32375	0.874	Nikpour M.; Yousefi P.B.; Jafarzadeh H.; Danesh K.; Shomali R.; Asadi S.; Lonbar A.G.; Ahmadi M.	Intelligent Energy Management With Iot Framework In Smart Cities Using Intelligent Analysis: An Application Of Machine Learning Methods For Complex Networks And Systems	Journal of Network and Computer Applications, 235 (2025)
17225	0.873	Kumar K.K.; Ramaraj E.; Indira D.N.V.S.L.S.	Data Fusion Method And Internet Of Things (Iot) For Smart City Application	Proceedings of the 3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021 (2021)
23492	0.872	Reddy K.N.; Shukla A.; Sivasubramanian S.; Rajappa Sakthidharan G.; Hussein L.; Vaishnavi R.	Energy-Efficient Iot Data Aggregation Framework Using Low-Power Wide-Area Networks	2nd IEEE International Conference on IoT, Communication and Automation Technology, ICICAT 2024 (2024)