Smart City Gnosys
Smart city article details
| Title | Comparative Study On Energy Efficiency Of Wsns And Wmsns For Surveillance Applications |
|---|---|
| ID_Doc | 15080 |
| Authors | Kizilkaya B.; Ever E.; Yazici A. |
| Year | 2019 |
| Published | 2019 26th International Conference on Telecommunications, ICT 2019 |
| DOI | http://dx.doi.org/10.1109/ICT.2019.8798784 |
| Abstract | The infrastructure required to deliver various 'Internet of Things' (IoT) services is expected to be widely available in the very near future for application areas such as Smart Cities, Smart Homes, Intelligent Transportation and Smart Monitoring in the coming decades. In fact, it is expected that the number of devices connected to the Internet will exceed 50 billion by 2020. It is possible to use these infrastructures for environmental monitoring systems, especially for the early detection and prevention of disasters such as forest fires. Wireless sensors are an essential part of the IoT infrastructure and environmental monitoring/surveillance systems. Wireless sensor networks based on scalar sensors and wireless multimedia sensor networks are widely used for environmental monitoring. Multimedia surveillance systems have better accuracy but a shorter lifetime with multimedia surveillance systems. Therefore, it is necessary to study in detail their energy efficiency to better understand the introduction of more efficient algorithms and architectures. In this study, the lifetimes of the Wireless Sensor Networks(WSNs) and Wireless Multimedia Sensor Networks(WMSNs) are considered in a comparative way. The results are presented for a forest fire detection case study using simulations as well as an example of a test bench to confirm the accuracy of the simulation tool used. © 2019 IEEE. |
| Author Keywords | Environment monitoring; simulation; test-bed; WMSNs; WSNs |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
32287  | 0.9 | França R.P.; Iano Y.; Monteiro A.C.B.; Arthur R. | Intelligent Applications Of Wsn In The World: A Technological And Literary Background | Advances in Intelligent Systems and Computing, 1132 (2020) |
| 61993 | 0.886 | Sheeja Rani S.; Aburukba R.; El Fakih K. | Wireless Sensor Networks For Urban Development: A Study Of Applications, Challenges, And Performance Metrics | Smart Cities, 8, 3 (2025) |
| 2360 | 0.882 | Abbood I.K.; Idrees A.K. | A Literature Review On Data Transmission Reduction Techniques For Wireless Multimedia Sensor Networks | 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023 (2023) |
| 33272 | 0.88 | Maini J.; Rani S. | Introduction To Iot And Wsn | WSN and IoT: An Integrated Approach for Smart Applications (2024) |
| 17328 | 0.879 | Abbood I.K.; Idrees A.K. | Data Reduction Techniques For Wireless Multimedia Sensor Networks: A Systematic Literature Review | Journal of Supercomputing, 80, 7 (2024) |
| 23200 | 0.874 | Boban M.; Uroš V. | Energy Efficiency Improvement Of Wireless Sensor Networks In The Digital Age | 2024 47th ICT and Electronics Convention, MIPRO 2024 - Proceedings (2024) |
| 750 | 0.868 | Bhatia S.; Bhadauria R.V.S.; Mehrotra K.; Malik J.; Goel A.K.; Naib B.B. | A Comparative Analysis And Design Criteria Of Mac, Smac, And Tmac Protocols In Wireless Sensor Network | 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023 (2023) |
| 23211 | 0.865 | AlSkaif T.; Bellalta B.; Zapata M.G.; Barcelo Ordinas J.M. | Energy Efficiency Of Mac Protocols In Low Data Rate Wireless Multimedia Sensor Networks: A Comparative Study | Ad Hoc Networks, 56 (2017) |
| 61997 | 0.864 | Jenkins J.; Kim J.; Kwak M.; Seol J. | Wireless Technologies For Environmental Monitoring: A Network Perspective | Journal of Computer Information Systems (2024) |
| 17231 | 0.864 | Gurewitz O.; Shifrin M.; Dvir E. | Data Gathering Techniques In Wsn: A Cross-Layer View | Sensors, 22, 7 (2022) |