Tytuł artykułu
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (16 ; 02-05.09.2021 ; online)
Języki publikacji
Abstrakty
Connectivity is an important requirement in almost all IoT-based wireless networks. The multi-hop networks use intermediate nodes to create a communication path between other nodes. Hence losing some nodes may cut off all communication paths between other active nodes. Generally, the connectivity of a partitioned network can be restored by adding new or activating redundant nodes, moving available nodes to the new location, and increasing the wireless communication range of nodes. The restoration problem may have many constraints and sub-problems. The network may initially be disconnected, the nodes may be heterogeneous, reliable connections may be required between the nodes, we may have unreachable locations in the network area to put the new nodes or move exciting nodes, more than one node may fail at the same time and the expected coverage area may complicate the connectivity restoration problem. In this paper, we study the main challenges and methods of connectivity restoration in IoT-based wireless networks.
Rocznik
Tom
Strony
145--149
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
autor
- International Computer Institute Ege University Izmir, Bornova
autor
- University of Antwerp and Flanders Make Flanders, Belgium
Bibliografia
- 1. S. Arslan, M. Challenger, and O. Dagdeviren, “Wireless Sensor Network based Fire Detection System for Libraries,” in 2017 International Conference on Computer Science and Engineering (UBMK). IEEE, 2017, pp. 271-276.
- 2. L. Özgür, V. K. Akram, M. Challenger, and O. Dağdeviren, “An IoT based Smart Thermostat,” in 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE). IEEE, 2018, pp. 252-256.
- 3. B. Karaduman, T. Aşıcı, M. Challenger, and R. Eslampanah, “A cloud and Contiki based Fire Detection System using Multi-hop Wireless Sensor Networks,” in Proceedings of the Fourth International Conference on Engineering & MIS 2018, 2018, pp. 1-5.
- 4. B. Karaduman, M. Challenger, and R. Eslampanah, “ContikiOS based Library Fire Detection System,” in 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE). IEEE, 2018, pp. 247-251.
- 5. N. Karimpour, B. Karaduman, A. Ural, M. Challenger, and O. Dagdeviren, “IoT based Hand Hygiene Compliance Monitoring,” in 2019 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 2019, pp. 1-6.
- 6. M. S. Mekala and P. Viswanathan, “A survey: Smart agriculture iot with cloud computing,” in 2017 international conference on microelectronic devices, circuits and systems (ICMDCS). IEEE, 2017, pp. 1-7.
- 7. S. Shao, A. Khreishah, and I. Khalil, “Enabling real-time indoor tracking of iot devices through visible light retroreflection,” IEEE Transactions on Mobile Computing, vol. 19, no. 4, pp. 836-851, 2019.
- 8. Y. Jie, J. Y. Pei, L. Jun, G. Yun, and X. Wei, “Smart home system based on iot technologies,” in 2013 International conference on computational and information sciences. IEEE, 2013, pp. 1789-1791.
- 9. I. E. Etim and J. Lota, “Power control in cognitive radios, internet-of things (iot) for factories and industrial automation,” in IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2016, pp. 4701-4705.
- 10. T. Ahn, J. Seok, I. Lee, and J. Han, “Reliable flying iot networks for uav disaster rescue operations,” Mobile Information Systems, vol. 2018, 2018.
- 11. S. L. Ullo and G. Sinha, “Advances in smart environment monitoring systems using iot and sensors,” Sensors, vol. 20, no. 11, p. 3113, 2020.
- 12. N. H. Motlagh, M. Bagaa, and T. Taleb, “Uav-based iot platform: A crowd surveillance use case,” IEEE Communications Magazine, vol. 55, no. 2, pp. 128-134, 2017.
- 13. M. Hassanalian and A. Abdelkefi, “Classifications, applications, and design challenges of drones: A review,” Progress in Aerospace Sciences, vol. 91, pp. 99-131, 2017.
- 14. V. K. Akram and O. Dagdeviren, “Deck: A distributed, asynchronous and exact k-connectivity detection algorithm for wireless sensor networks,” Computer Communications, vol. 116, pp. 9-20, 2018.
- 15. Y. Zhang, J. Wang, and G. Hao, “An autonomous connectivity restoration algorithm based on finite state machine for wireless sensor-actor networks,” Sensors, vol. 18, no. 1, p. 153, 2018.
- 16. V. K. Akram and O. DAĞDEVİREN, “Tapu: Test and pick up-based k-connectivity restoration algorithm for wireless sensor networks,” Turkish Journal of Electrical Engineering & Computer Sciences, vol. 27, no. 2, pp. 985-997, 2019.
- 17. Y. Zeng, L. Xu, and Z. Chen, “Fault-tolerant algorithms for connectivity restoration in wireless sensor networks,” Sensors, vol. 16, no. 1, p. 3, 2016.
- 18. M. Imran, M. Younis, A. M. Said, and H. Hasbullah, “Localized motion-based connectivity restoration algorithms for wireless sensor and actor networks,” Journal of Network and Computer Applications, vol. 35, no. 2, pp. 844-856, 2012.
- 19. N. Tamboli and M. Younis, “Coverage-aware connectivity restoration in mobile sensor networks,” Journal of network and computer applications, vol. 33, no. 4, pp. 363-374, 2010.
- 20. H. M. Marah, R. Eslampanah, and M. Challenger, “DSML4TinyOS: Code Generation for Wireless Devices,” in 2nd International Workshop on Model-Driven Engineering for the Internet-of-Things (MDE4IoT), 21st International Conference on Model Driven Engineering Languages and Systems (MODELS2018). Copenhagen, Denmark, 2018.
- 21. T. Z. Asici, B. Karaduman, R. Eslampanah, M. Challenger, J. Denil, and H. Vangheluwe, “Applying Model Driven Engineering Techniques to the Development of Contiki-based IoT Systems,” in 2019 IEEE/ACM 1st International Workshop on Software Engineering Research & Practices for the Internet of Things (SERP4IoT). IEEE, 2019, pp. 25-32.
Uwagi
1. Track 2: Network Systems and Applications
2. Session: 5th Workshop on Internet of Things - Enablers, Challenges and Applications
3. Position papers
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e574c052-1a41-4e06-a5bd-99deaff48f6b