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Dynamic Multilevel Priority Packet Scheduling Using Hybrid Seec
[Full Text]
AUTHOR(S)
Sonam Gupta, Kanika Sharma
KEYWORDS
Wireless sensor networks, dynamic multilevel priority packet scheduling, hybrid stable and energy efficient clustering, TDMA, advanced nodes.
ABSTRACT
The process of scheduling is indispensable for efficient use of resources available with the wireless sensor networks such as battery lifetime available with the wireless sensor networks. Numerous scheduling techniques are usedincluding dynamic multilevel priority packet scheduling technique which is a great solution for providing fairness and minimizing delay for the network involving both real time and non-real time data. Dynamic multilevel priority packet scheduling scheme makes use of zone based routing algorithm in which the sensor nodes are arranged in zones. Although this technique presents great results but still the energy efficiencycan be improved by inculcating the pros of a stable and energy- efficient clustering algorithm with the above mentioned scheduling technique. The clustering technique makes use of advanced nodes along with normal nodes. The advanced nodes are equipped with extra energy and are responsible for the maximum data aggregation. The node arrangement is done in such a way that the energy of normal nodes is utilized minimally and no data is aggregated by them. The advanced nodes are in close proximity to the base station and their energy is utilized efficiently. Thus network lifetime is improved as the nodes remain alive for more time.
REFERENCES
[1] I.F. Akyildiz, W. Su, Sankarasubramaniam, and E. Cayirci, “A survey on sensor networks,”IEEE Communications Magazine,vol. 48, no. 8, pp. 102-114, Aug. 2002.
[2] P. Papageorgion, “Literature Survey on WSN,"IEEE Communications Magazine,July 2003.
[3] E. Bulut and I. Korpeoglu, “DSSP: a dynamic sleep scheduling protocol for prolonging the lifetime of wireless sensor networks,” International Conference of Advanced Information Networking Application, vol. 2, pp. 725– 730, Aug. 2007.
[4] P. Guo, T. Jiang, Q. Zhang, and K. Zhang, “Sleep scheduling for critical event monitoring in wireless sensor networks,” IEEE Tranactions on Parallel Distributed System, vol. 23, no. 2, pp. 345–352, Feb. 2012.
[5] F. Liu, C. Tsui, and Y.J. Zhang, “Joint routing and sleep scheduling for lifetime maximization of wireless sensor networks,” IEEE Transactions on Wireless Communications, vol. 9, no. 7, pp. 2258–2267, July 2010.
[6] S. Paul, S. Nandi, and I. Singh, “A dynamic balanced-energy sleep scheduling scheme in heterogeneous wireless sensor network,” IEEE International Conference on Networks, pp. 1–6, 2008.
[7] A.R. Swain, R.C. Hansdah, and V.K. Chouhan, “An energyaware routing protocol with sleep scheduling for wireless sensor networks,” IEEE International Conference on Advanced Information Network Applications, pp. 933–940, 2010.
[8] S. Jagabathula and D. Shah, "Fair Scheduling in Networks Through Packet Election", Information Theory, IEEE Transactions, vol. 57, pp. 1368-1381, March 2011.
[9] X. Yu, X. Xiaosong, and W. Wenyong, “Priority-based low-power task scheduling for wireless sensor network,” International Symposium on Autonomous Decentralized System, 2009.
[10] N. Edalat, W. Xiao, C. Tham, E. Keikha, and L. Ong, “A price-based adaptive task allocation for wireless sensor network,”IEEE International Conference on Mobile Adhoc Sensor Systems, pp. 888–893, 2009.
[11] F. Tirkawi and S. Fischer, “Adaptive tasks balancing in wireless sensor networks,” International Conference on Informative Communication Technology Applications, pp. 1–6, 2008.
[12] L. Karim, N. Nasser, T. Taleb, and A. Alqallaf, “An Efficient Priority Packet Scheduling Algorithm for Wireless Sensor Networks,”IEEE International Conference on Communications, Nov. 2012.
[13] W. Yantong and Z. Sheng, “An Enhanced Dynamic Priority Packet Scheduling Algorithm in Wireless Sensor Networks”, UKSim-AMSS 18th IEEE International Conference on Computer Modelling and Simulation, pp. 435 – 440, Sep. 2016.
[14] F. Farouk, R. Rizk, and F.W. Zaki, “Multilevel Stable and Energy Efficient Clustering Protocol in Heterogeneous Wireless Sensor networks,” IET Wireless Sensor Systems, vol. 4, no. 4, pp. 159-169, Oct. 2014.
[15] N. Mittal, U. Singh, and B.S. Sohi, “A Stable Energy Efficient Clustering Protocol for Wireless Sensor Network,”International Journal of Wireless Networks, vol. 23, no. 6, pp. 1809-1821, Mar. 2016.
[16] C. Lu, B.M. Blum, T.F. Abdelzaher, J.A. Stankovic, and T. He, “RAP: a real-time communication architecture for large-scale wireless sensor networks,” IEEE Real-Time Embedded Technology Applications Symposium, pp. 55–66, 2002.
[17] K. Mizanian, R. Hajisheykhi, M. Baharloo, and A.H. Jahangir, “RACE: a Real-Time Scheduling Policy and Communication Architecture for Large Scale Wireless Sensor Networks,” Communication Networks Services Research Conference, pp. 458–460, 2009.
[18] M. Yu, S.J. Xiahou, and X.Y. Li, “A Survey of Studying on Task Scheduling Mechanism for TinyOS,”International Conference on Wireless Communication, Network and Mobile Computing, pp. 1–4, 2008.
[19] Y. Zhao, Q. Wang, W. Wang, D. Jiang, and Y. Liu, “Research on the Priority-Based Soft Real-Time Task Scheduling in TinyOS,” International Conference on Information Technology and Computer Science, vol. 1, pp. 562–565, 2009.
[20] E.M. Lee, A. Kashif, D.H. Lee, I.T. Kim, and M.S. Park, “Location Based Multi-Queue Scheduler in Wireless Sensor Network,” International Conference on Advanced Communication Technology, vol. 1, pp. 551–555, 2010.
[21] E. Karimi and B. Akbari, “Improving Video Delivery Over Wireless Multimedia Sensor Networks Based On Queue Priority Scheduling,” International Conference on Wireless Communication, Network and Mobile Computing, pp. 1–4, 2011.
[22] N. Nidal, L. Karim, and T. Taleb, “Dynamic Multilevel Priority Packet Scheduling Scheme for Wireless Sensor Networks,” IEEE Transactions on Wireless Communications, vol. 12, no. 4, pp. 1448-1459, April 2013.
A. Kashaf, N. Javaid, Z. Khan, and I. Khan, “TSEP: Threshold-Sensitive Stable Election Protocol for WSNs,” IEEE International Conference on Frontiers of Information Technology (FIT 12), December 2012.
[23] D. Kumar, T. Aseri, and R. Patel, “EEHC: Energy Efficient Heterogeneous Clustered Scheme for Wireless Sensor Networks,” Computer Communications, vol. 32, pp. 662–667, 2009.
[24] G. Arya, D. Chauhan, “Modified Stable Election Protocol (M-SEP) for Hierarchical WSN,” International Journal of Computer Applications, vol. 79, no. 16, pp. 35–39, 2013.
[25] D. Yuana , S.S. Kanhere , and M. Hollick, “Instrumenting Wireless Sensor Networks—A Survey On The Metrics That Matter,”International Journal on Pervasive and Mobile Computing, vol. 37, pp. 45-62, June 2016.
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