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Wireless Sensor Network finds its extensive use in healthcare applications for the transfer of time-critical data through wireless connectivity. The primary cause of network failure is the transfer of time-critical multimedia data. The article presents a new dfferentiated service modelsupported (DSM) cluster-based routing in wireless sensor networks (WSNs) that overcomes the above issue. DSM prioritizes the transfer of dfferent flow types based on packet type and packet size. The employment of computational offlading minimizes delay for critical and small-sized data packets and by carrying out data reduction of large-sized packets at proxy server. It outperforms the existing protocols in terms of energy efficiency, throughput, and reliability by prioritizing the transfer of time-critical health application data.
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Tom
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1--9
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Bibliogr. 26 poz., rys., tab.
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- Department of CSE, Poojya Doddappa Appa College of Engineering, Kalaburagi, India
autor
- Department of CSE, Sharnbasva University, Kalaburagi, India
autor
- Department of E&CE, Poojya Doddappa Appa College of Engineering, Kalaburagi, India
Bibliografia
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- [3] V. Raghunathan et al., „Energy-aware wireless microsensor networks", IEEE Sig. Process. Mag., vol. 19, no. 2, pp. 40-50, 2002 (DOI: 10.1109/79.985679).
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- [5] M. Minami, T. Morito, H. Morikawa, and T. Aoyama, „Solar biscuit: A battery-less wireless sensor network system for environmental monitoring applications", in Proc. of The 2nd Int. Works. On Network. Sensing Syst. INSS 2005, San Diego, USA, 2005 [Online]. Available: http://citeseerx.ist.psu.edu/viewdoc/download? doi=10.1.1.532.7036&rep=rep1&type=pdf
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- [10] C. B. Mudgule, U. Nagaraj, and P. D. Ganjewar, „Data compression in wireless sensor network: a survey", Int. J. of Innov. Res. in Comp. and Commun. Engin, vol. 2, no. 11, pp. 6664-6673, 2014 [Online]. Available: http://www.ijircce.com/upload/2014/november/66 Data.pdf
- [11] J. Agarkhed, G. S. Biradar, and V. D. Mytri, „Energy efficient QoS routing in multi-sink wireless multimedia sensor networks", Int. J. of Comp. Sci. and Netw. Secur. (IJCSNS), vol. 12, no. 5, pp. 25-31, 2012 [Online]. Available: http://paper.ijcsns.org/07 book/201205/20120505.pdf
- [12] Q. Zhang et al., „Collaborative scheduling in dynamic environments using error inference", IEEE Trans. on Parall. and Distrib. Syst., vol. 25, no. 3, pp. 591-601, 2013 (DOI: 10.1109/TPDS.2013.28).
- [13] J. Agarkhed and Y. D. Patil, „Energy efficient service differentiated QoS aware routing in cluster-based wireless sensor network", Int. J. of Hybrid Intell., vol. 1, no. 1, pp. 79-95, 2019 (DOI: 10.1504/IJHI.2019.10021297).
- [14] J. Yu, L. Feng, L. Jia, X. Gu, and D. Yu, „A local energy consumption prediction-based clustering protocol for wireless sensor networks", Sensors, vol. 14, no. 12, pp. 23017-23040, 2014 (DOI: 10.3390/s141223017).
- [15] M. Younis, M. Youssef, and K. Arisha, „Energy-aware management for cluster-based sensor networks", Computer Netw., vol. 43 no. 5, pp. 649-668, 2003 (DOI: 10.1016/S1389-1286(03)00305-0).
- [16] Y. T. Hou, Y. Shi, H. D. Sherali, and S. F. Midkiff, „On energy provisioning and relay node placement for wireless sensor networks", IEEE Trans. on Wirel. Commun., vol. 4, no. 5, pp. 2579-2590, 2005 (DOI: 10.1109/TWC.2005.853969).
- [17] K. Akkaya and M. Younis, „A survey on routing protocols for wireless sensor networks", Ad Hoc Netw., vol. 3 no. 3, pp. 325-349, 2005 (DOI: 10.1016/j.adhoc.2003.09.010).
- [18] M. Adamou, I. Lee, and I. Shin, „An energy efficient real-time medium access control protocol for wireless ad-hoc networks", Report-University of York Department of Computer Science YCS, 2001, pp. 5-8.
- [19] Y. Xu, J. Heidemann, and D. Estrin, „Geography-informed Energy conservation for ad hoc routing", in Proc. of the 7th Ann. Int. Conf. on Mob. Comput. and Network. MobiCom'01, Rome, Italy, 2001, pp. 70-84 (DOI: 10.1145/381677.381685).
- [20] T. Wu and S. Biswas, „A self-reorganizing slot allocation protocol for multi-cluster sensor networks", in Proc. of the 4th Int. Symp. On Inform. Process. in Sensor Netw. IPSN 2005, Boise, ID, USA, 2005, pp. 309-316 (DOI: 10.1109/IPSN.2005.1440940).
- [21] G. Jolly, and M. Younis, „An energy-efficient, scalable and collision-free MAC layer protocol for wireless sensor networks", Wirel. Commun. and Mob. Comput., vol. 5, no. 3, pp. 285-304, 2005 (DOI: 10.1002/wcm.222).
- [22] K. Dasgupta, K. Kalpakis, and P. Namjoshi, „An efficient clustering-based heuristic for data gathering and aggregation in sensor networks", in Proc. IEEE Wirel. Commun. and Network. WCNC 2003, New Orleans, LA, USA, 2003, vol. 3, pp. 1948-1953 (DOI: 10.1109/WCNC.2003.1200685).
- [23] J. Agarkhed, P. Y. Dattatraya, and S. R. Patil, „Performance evaluation of QoS-aware routing protocols in wireless sensor networks", in Proc. of the 1st Int. Conf. on Comput. Intell. and Inform., Singapore, 2017, pp. 559-569 (DOI: 10.1007/978-981-10-2471-9 54).
- [24] M. Amjad, M. K. Afzal, T. Umer, and B.-S. Kim, „QoS-aware and heterogeneously clustered routing protocol for wireless sensor networks", IEEE Access, vol. 5, pp. 10250-10262, 2017 (DOI: 10.1109/ACCESS.2017.2712662).
- [25] M. Maimour, „Maximally radio-disjoint multipath routing for wireless multimedia sensor networks", in Proc. of the 4th ACM Worksh. on Wirel. Multim. Network. and Perform. Model. WMuNeP'08, Vancouver, BC, Canada, 2008, pp. 26-31 (DOI: 10.1145/1454573.1454579).
- [26] N. Yessad, M. Omar, A. Tari, and A. Bouabdallah, „QoS-based routing in wireless body area networks: a survey and taxonomy", Computing, vol. 100, no. 3, pp. 245-275, 2018 (DOI: 10.1007/s00607-017-0575-4).
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Bibliografia
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