Differentiated Service Model-Supported Cluster-Based Routing in Wireless Sensor Networks
DOI:
https://doi.org/10.26636/jtit.2020.139119Keywords:
clustering, energy efficiency, proxy server, TDMA, wireless sensor networksAbstract
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 differentiated service modelsupported (DSM) cluster-based routing in wireless sensor networks (WSNs) that overcomes the above issue. DSM prioritizes the transfer of different flow types based on packet type and packet size. The employment of computational offloading 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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[1] I. Yoon, K. Hyeok, and N. Dong, „Adaptive data aggregation and compression to improve energy utilization in solar-powered wireless sensor networks", Sensors, vol. 17, no. 6, pp. 1226, 2017. DOI: https://doi.org/10.3390/s17061226
View in Google Scholar
[2] J. Yick, M. Biswanath, and G. Dipak, „Wireless sensor Network survey", Computer Netw., vol. 52, no. 12, pp. 393-422, 2002. DOI: https://doi.org/10.1016/j.comnet.2008.04.002
View in Google Scholar
[3] V. Raghunathan et al., „Energy-aware wireless microsensor networks", IEEE Sig. Process. Mag., vol. 19, no. 2, pp. 40-50, 2002. DOI: https://doi.org/10.1109/79.985679
View in Google Scholar
[4] V. Raghunathan, A. Kansal, J. Hsu, J. Friedman, and M. Srivastava, „Design considerations for solar energy harvesting wireless embedded systems", in Proc. of the 4th Int. Symp. on Inform. Process. In Sensor Netw. IPSN 2005, Boise, ID, USA, 2005, pp. 457-462. DOI: https://doi.org/10.1109/IPSN.2005.1440973
View in Google Scholar
[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.
View in Google Scholar
[6] S. Meninger et al., „Vibration-to-electric energy conversion", IEEE Trans. on Very Large Scale Integr. (VLSI) Syst., vol. 9, no. 1, pp. 64-76, 2001. DOI: https://doi.org/10.1109/92.920820
View in Google Scholar
[7] G. Ottman, A. Bhatt, H. Hofmann, and G. Lesieutre, „Adaptive piezoelectric energy harvesting circuit for wireless, remote Power supply", IEEE Trans. on Power Electron., vol. 17, no. 5, 2002. DOI: https://doi.org/10.1109/TPEL.2002.802194
View in Google Scholar
[8] M. A. Weimer, T. S. Paing, and R. A. Zane, „Remote area wind energy harvesting for low-power autonomous sensors," in Proc. 37th PESC Record - IEEE Ann. Power Electron. Spe. Conf. PESC'06, Jeju, South Korea, 2006. DOI: https://doi.org/10.1109/pesc.2006.1712213
View in Google Scholar
[9] M. Stordeur and I. Stark, „Low power thermoelectric generator-self-suficient energy supply for micro systems", in Proc. 16th Int. Conf. on Thermoelec. ICT'97", Dresden, Germany, 1997, pp. 575-577. DOI: https://doi.org/10.1109/ICT.1997.667595
View in Google Scholar
[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
View in Google Scholar
[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.
View in Google Scholar
[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: https://doi.org/10.1109/TPDS.2013.28
View in Google Scholar
[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: https://doi.org/10.1504/IJHI.2019.099673
View in Google Scholar
[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: https://doi.org/10.3390/s141223017
View in Google Scholar
[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 .00305-0). DOI: https://doi.org/10.1016/S1389-1286(03)00305-0
View in Google Scholar
[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: https://doi.org/10.1109/TWC.2005.853969
View in Google Scholar
[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: https://doi.org/10.1016/j.adhoc.2003.09.010
View in Google Scholar
[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.
View in Google Scholar
[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: https://doi.org/10.1145/381677.381685
View in Google Scholar
[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.
View in Google Scholar
[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: https://doi.org/10.1002/wcm.222
View in Google Scholar
[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: https://doi.org/10.1109/WCNC.2003.1200685
View in Google Scholar
[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: https://doi.org/10.1007/978-981-10-2471-9_54
View in Google Scholar
[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: https://doi.org/10.1109/ACCESS.2017.2712662
View in Google Scholar
[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: https://doi.org/10.1145/1454573.1454579
View in Google Scholar
[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: https://doi.org/10.1007/s00607-017-0575-4
View in Google Scholar
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