Kablosuz Algılayıcı Ağların özel bir türü olarak literatürde yerini almış olan Doğrusal Kablosuz Algılayıcı Ağlar (DKAA)’da ağ yapısında düğümler sıralı olarak dizilmekte ve iletişim ortamı doğrusal düzende oluşturulmaktadır. Bu tür uygulamalar için geliştirilmiş Ortam Erişim Kontrol (OEK) protokollerinin doğrusal dizilim karakteristiğine uygun olarak tasarlanması önem arz etmektedir. Çünkü ağdaki düğüm sayısı artıkça paketlerin uçtan uca gecikmesi ve koordinatör düğüme yakın olan düğümlerin veri trafiği çok yüksek seviyelere ulaşmaktadır. Ayrıca artan düğüm sayısı, çarpışma ve sıkışıklık ihtimalini de artırmaktadır. Tüm bu sebeplerden dolayı doğrusal topolojiler için geliştirilen protokollerin gecikme duyarlı, sorunsuz bağlanabilen ve hatasız veri iletimi yapan karakteristiklere sahip olması beklenmektedir.
Bu çalışmada, yukarıda bahsedilen DKAA problemlerini minimuma indirgemek üzere etkili ve zor fiziksel şartlarda ağın bağlantı sürekliliğinin üstesinden gelen çevik bir OEK protokolü olan TBL-MAC geliştirilmiştir. Bu çalışma ile Doğrusal Ağ haberleşmesine katkı sunacak birçok yeniliğin literatüre kazandırılması hedeflenmiş, protokolün benzetimi yapılarak önerilerin geçerliliği test edilmiştir. Yapılan benzetim sonuçlarına göre TBL-MAC protokolünün içerdiği yöntemlerin kabul göreceği ve çalışmanın araştırmacılara yeni bakış açıları kazandıracağı düşünülmektedir.
Bitlis Eren Üniversitesi Bilimsel Araştırma Projeleri Birimi
Project Number
BEBAP2019.006
Thanks
Bu çalışma Bitlis Eren Üniversitesi Bilimsel Araştırma Projeleri Birimi tarafından BEBAP2019.006 proje numarası ile desteklenmiştir. Bitlis Eren Üniversitesi Bilimsel Araştırma Projeleri Birimi'ne katkı ve desteklerinden dolayı teşekkür ederiz.
References
Ari, D., Cibuk, M., & Ağgün, F. (2018). A New Time Division Method for Linear Wireless Sensor Networks. In 1st INTERNATIONAL ENGINEERING AND TECHNOLOGY SYMPOSIUM (pp. 1166–1170). Batman, Turkey.
Caneva, D. De. (2010). A Synchronous and Deterministic MAC Protocol for Wireless Communications on Linear Topologies. Int’l J. of Communications, Network and System Sciences, 03(12), 925–933. https://doi.org/10.4236/ijcns.2010.312126
Chen, H., Tse, C. K., & Feng, J. (2009). Impact of topology on performance and energy efficiency in wireless sensor networks for source extraction. IEEE Transactions on Parallel and Distributed Systems, 20(6), 886–897. https://doi.org/10.1109/TPDS.2009.14
Çıbuk, M., Arı, D., Ağgün, F., & Budak, Ü. (2021). Investigation of failed node method to support healthy communication for linear wireless sensor networks. In 1st Advanced Engineering Days (AED) (pp. 41–46). Mersin, Turkey. Retrieved from http://aed.mersin.edu.tr/wp-content/uploads/2021/12/AED1.pdf
Du, S., Saha, A. K., & Johnson, D. B. (2007). RMAC: A Routing-Enhanced Duty-Cycle MAC Protocol for Wireless Sensor Networks. In IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications (pp. 1478–1486). IEEE. https://doi.org/10.1109/INFCOM.2007.174
Fang, C., Liu, H., & Qian, L. (2011). LC-MAC: An efficient MAC protocol for the long-chain wireless sensor networks. Proceedings - 2011 3rd International Conference on Communications and Mobile Computing, CMC 2011, 495–500. https://doi.org/10.1109/CMC.2011.65
Jawhar, I., & Mohamed, N. (2009). A hierarchical and topological classification of linear sensor networks. In 2009 Wireless Telecommunications Symposium, WTS 2009. IEEE. https://doi.org/10.1109/WTS.2009.5068941
Jiang, H., Wu, J., Chen, L., Chen, S., & Leung, H. (2009). A Reliable and High-Bandwidth Multihop Wireless Sensor Network for Mine Tunnel Monitoring. IEEE Sensors Journal, 9(11), 1511–1517. https://doi.org/10.1109/JSEN.2009.2022878
Karveli, T., Voulgaris, K., Ghavami, M., & Aghvami, A. H. (2009). DiS-MAC: A MAC protocol for sensor networks used for roadside and highway monitoring. 2009 International Conference on Ultra Modern Telecommunications and Workshops. https://doi.org/10.1109/ICUMT.2009.5345439
Lai, T. T. Te, Chen, W. J., Li, K. H., Huang, P., & Chu, H. H. (2012). TriopusNet: Automating wireless sensor network deployment and replacement in pipeline monitoring. IPSN’12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks, 61–71. https://doi.org/10.1145/2185677.2185686
Lee, E., Jwa, J. W., & Kim, H. (2013). MFT-MAC: A duty-cycle MAC protocol using multiframe transmission for wireless sensor networks. International Journal of Distributed Sensor Networks, 2013. https://doi.org/10.1155/2013/858765
Low, K. S., & Talampas, M. C. R. (2017). Wireless sensor networks for intelligent transportation applications: A survey. Industrial Wireless Sensor Networks: Applications, Protocols, and Standards, 47–78. https://doi.org/10.1201/b14072
Martin, K. M., & Paterson, M. B. (2009). Ultra-lightweight key predistribution in wireless sensor networks for monitoring linear infrastructure. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5746 LNCS(May 2014), 143–152. https://doi.org/10.1007/978-3-642-03944-7_11
Nordic Semiconductor. (n.d.). Nordic Semiconductor. Retrieved October 28, 2021, from https://www.nordicsemi.com/-/media/Publications/WQ-Product-guide/Wireless-Q---Q1---Product-Guide.pdf?la=en&hash=55195302B5331ECA0F7D841B58D7F97DCC945F26
Riverbed Modeler. (n.d.). Riverbed Modeler. Retrieved April 9, 2021, from https://www.riverbed.com/gb/products/steelcentral/steelcentral-riverbed-modeler.html
Saeed, H., Ali, S., Rashid, S., Qaisar, S., & Felemban, E. (2014). Reliable monitoring of oil and gas pipelines using wireless sensor network (WSN) - REMONG. Proceedings of the 9th International Conference on System of Systems Engineering: The Socio-Technical Perspective, SoSE 2014, 230–235. https://doi.org/10.1109/SYSOSE.2014.6892493
Sun, T., Yan, X., & Yan, Y. (2013). A chain-type wireless sensor network in greenhouse agriculture. Journal of Computers (Finland), 8(9), 2366–2373. https://doi.org/10.4304/jcp.8.9.2366-2373
Sun, Y., Du, S., Gurewitz, O., & Johnson, D. B. (2008). DW-MAC: a low latency, energy efficient demand-wakeup MAC protocol for wireless sensor networks. Proceedings of the 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 53–62. https://doi.org/10.1145/1374618.1374627
Varshney, S., Kumar, C., & Swaroop, A. (2015). Linear sensor networks: Applications, issues and major research trends. International Conference on Computing, Communication and Automation, ICCCA 2015, 446–451. https://doi.org/10.1109/CCAA.2015.7148418
TBL-MAC: A New Media Access Control Protocol Design for Linear Wireless Sensor Networks
In Linear Wireless Sensor Networks (LWSNs), which has taken its place in the literature as a special type of Wireless Sensor Networks, the nodes are arranged in a sequential manner in the network structure and the communication environment is created in a linear order. It is important that the Media Access Control (MAC) protocols to be developed for such applications are designed in accordance with the linear sequence characteristics. Because as the number of nodes in the network increases, the end-to-end delay of the packets and the data traffic of the nodes close to the coordinator node reach very high levels. In addition, increasing the number of nodes increases the probability of collision and congestion. For all these reasons, protocols developed for linear topologies are expected to have characteristics that are delay sensitive, can be connected seamlessly, and transmit data to the center without error.
In this study, TBL-MAC, an agile MAC protocol that effectively overcomes the connection continuity of the network in difficult physical conditions, has been developed in order to minimize the above-mentioned LWSN problems. With this study, it was aimed to bring many innovations that will contribute to Linear Network communication to the literature, and the validity of the suggestions was tested by simulating the protocol. According to the simulation results, it is thought that the methods included in the TBL-MAC protocol will be accepted and the study will bring new perspectives to the researchers.
Ari, D., Cibuk, M., & Ağgün, F. (2018). A New Time Division Method for Linear Wireless Sensor Networks. In 1st INTERNATIONAL ENGINEERING AND TECHNOLOGY SYMPOSIUM (pp. 1166–1170). Batman, Turkey.
Caneva, D. De. (2010). A Synchronous and Deterministic MAC Protocol for Wireless Communications on Linear Topologies. Int’l J. of Communications, Network and System Sciences, 03(12), 925–933. https://doi.org/10.4236/ijcns.2010.312126
Chen, H., Tse, C. K., & Feng, J. (2009). Impact of topology on performance and energy efficiency in wireless sensor networks for source extraction. IEEE Transactions on Parallel and Distributed Systems, 20(6), 886–897. https://doi.org/10.1109/TPDS.2009.14
Çıbuk, M., Arı, D., Ağgün, F., & Budak, Ü. (2021). Investigation of failed node method to support healthy communication for linear wireless sensor networks. In 1st Advanced Engineering Days (AED) (pp. 41–46). Mersin, Turkey. Retrieved from http://aed.mersin.edu.tr/wp-content/uploads/2021/12/AED1.pdf
Du, S., Saha, A. K., & Johnson, D. B. (2007). RMAC: A Routing-Enhanced Duty-Cycle MAC Protocol for Wireless Sensor Networks. In IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications (pp. 1478–1486). IEEE. https://doi.org/10.1109/INFCOM.2007.174
Fang, C., Liu, H., & Qian, L. (2011). LC-MAC: An efficient MAC protocol for the long-chain wireless sensor networks. Proceedings - 2011 3rd International Conference on Communications and Mobile Computing, CMC 2011, 495–500. https://doi.org/10.1109/CMC.2011.65
Jawhar, I., & Mohamed, N. (2009). A hierarchical and topological classification of linear sensor networks. In 2009 Wireless Telecommunications Symposium, WTS 2009. IEEE. https://doi.org/10.1109/WTS.2009.5068941
Jiang, H., Wu, J., Chen, L., Chen, S., & Leung, H. (2009). A Reliable and High-Bandwidth Multihop Wireless Sensor Network for Mine Tunnel Monitoring. IEEE Sensors Journal, 9(11), 1511–1517. https://doi.org/10.1109/JSEN.2009.2022878
Karveli, T., Voulgaris, K., Ghavami, M., & Aghvami, A. H. (2009). DiS-MAC: A MAC protocol for sensor networks used for roadside and highway monitoring. 2009 International Conference on Ultra Modern Telecommunications and Workshops. https://doi.org/10.1109/ICUMT.2009.5345439
Lai, T. T. Te, Chen, W. J., Li, K. H., Huang, P., & Chu, H. H. (2012). TriopusNet: Automating wireless sensor network deployment and replacement in pipeline monitoring. IPSN’12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks, 61–71. https://doi.org/10.1145/2185677.2185686
Lee, E., Jwa, J. W., & Kim, H. (2013). MFT-MAC: A duty-cycle MAC protocol using multiframe transmission for wireless sensor networks. International Journal of Distributed Sensor Networks, 2013. https://doi.org/10.1155/2013/858765
Low, K. S., & Talampas, M. C. R. (2017). Wireless sensor networks for intelligent transportation applications: A survey. Industrial Wireless Sensor Networks: Applications, Protocols, and Standards, 47–78. https://doi.org/10.1201/b14072
Martin, K. M., & Paterson, M. B. (2009). Ultra-lightweight key predistribution in wireless sensor networks for monitoring linear infrastructure. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5746 LNCS(May 2014), 143–152. https://doi.org/10.1007/978-3-642-03944-7_11
Nordic Semiconductor. (n.d.). Nordic Semiconductor. Retrieved October 28, 2021, from https://www.nordicsemi.com/-/media/Publications/WQ-Product-guide/Wireless-Q---Q1---Product-Guide.pdf?la=en&hash=55195302B5331ECA0F7D841B58D7F97DCC945F26
Riverbed Modeler. (n.d.). Riverbed Modeler. Retrieved April 9, 2021, from https://www.riverbed.com/gb/products/steelcentral/steelcentral-riverbed-modeler.html
Saeed, H., Ali, S., Rashid, S., Qaisar, S., & Felemban, E. (2014). Reliable monitoring of oil and gas pipelines using wireless sensor network (WSN) - REMONG. Proceedings of the 9th International Conference on System of Systems Engineering: The Socio-Technical Perspective, SoSE 2014, 230–235. https://doi.org/10.1109/SYSOSE.2014.6892493
Sun, T., Yan, X., & Yan, Y. (2013). A chain-type wireless sensor network in greenhouse agriculture. Journal of Computers (Finland), 8(9), 2366–2373. https://doi.org/10.4304/jcp.8.9.2366-2373
Sun, Y., Du, S., Gurewitz, O., & Johnson, D. B. (2008). DW-MAC: a low latency, energy efficient demand-wakeup MAC protocol for wireless sensor networks. Proceedings of the 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 53–62. https://doi.org/10.1145/1374618.1374627
Varshney, S., Kumar, C., & Swaroop, A. (2015). Linear sensor networks: Applications, issues and major research trends. International Conference on Computing, Communication and Automation, ICCCA 2015, 446–451. https://doi.org/10.1109/CCAA.2015.7148418
Çıbuk, M., Arı, D., Ağgün, F., Budak, Ü. (2022). TBL-MAC: Doğrusal Kablosuz Algılayıcı Ağlar için Yeni Bir Ortam Erişim Kontrol Protokolü. International Journal of Engineering Research and Development, 14(2), 561-580. https://doi.org/10.29137/umagd.1062421