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Wireless Personal Communications
Published in: Wireless Personal Communications 1/2021

02-01-2021

Minimizing Critical Event Delay and Maximizing Lifetime in a Hybrid Data-Gathering Protocol for WSNs

Authors: Debanjan Sadhukhan, Seela Veerabhadreswara Rao

Published in: Wireless Personal Communications | Issue 1/2021

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Abstract

In time driven data-gathering, sensor nodes generate periodic data which are gathered at the base-station. Whereas in event driven data gathering, sensors remain idle until a critical event occurs and then the event information is sent quickly to the central unit. In hybrid data-gathering, the nodes switches between time and event-driven strategy. In this paper, we propose a hybrid data-gathering protocol that minimizes the critical event reporting delay, using anycasting forwarding techniques, and maximizes the network lifetime using sleep/wake scheduling. In our protocol, the sensor nodes generate periodic events and if the nodes detect a critical event, the event information is sent quickly to the central unit. We estimate the expected critical event reporting delay using stochastic approach and validate the same in a Monte-Carlo simulation. We show the effectiveness of our protocol, that minimizes the critical event reporting delay, using ns2 simulation, and compare our protocol with existing hybrid data-gathering protocols.
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Literature
1.
Sadhukhan, D., & Rao, S. V. (2019). Minimum cost event driven WSN with spatial differentiated QOS requirements. Wireless Networks, 25(7), 3899–3915.CrossRef
2.
Wu, Y., Fahmy, S., & Shroff, N. B. (2009). Optimal sleep/wake scheduling for time-synchronized sensor networks with qos guarantees. IEEE/ACM Transactions on Networking, 17(5), 1508–1521.CrossRef
3.
Kim Joohwan SNB Lin Xiaojun. (2010). Minimizing delay and maximizing lifetime for wireless sensor networks with anycast. IEEE/ACM Transactions on Networking, 18(2), 515–528.CrossRef
4.
Han, K., Luo, J., Liu, Y., & Vasilakos, A. V. (2013). Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. IEEE Communications Magazine, 51(7), 107–113.CrossRef
5.
Swain, A. R., & Hansdah, R. (2015). A model for the classification and survey of clock synchronization protocols in WSNs. Ad Hoc Networks, 27, 219–241.CrossRef
6.
Bagaa, M., & Djenouri, D. (2015). Synchronization protocols and implementation issues in wireless sensor networks: A review. IEEE Systems Journal, 40, 617–627
7.
Afsar, M. M., & Tayarani-N, M. H. (2014). Clustering in sensor networks: A literature survey. Journal of Network and Computer applications, 46, 198–226.CrossRef
8.
Diaz, S., Mendez, D., & Kraemer, R. (2019). A review on self-healing and self-organizing techniques for wireless sensor networks. Journal of Circuits, Systems and Computers, 28(05), 1930005.CrossRef
9.
Dhand, G., & Tyagi, S. (2016). Data aggregation techniques in WSN: Survey. Procedia Computer Science, 92, 378–384.CrossRef
10.
Sadhukhan, D., & Rao, S. V. (2017). Effect of clock skew in event driven, delay constrained heterogeneous WSN with anycast. Wireless Personal Communications, 97(4), 4967–4980.CrossRef
11.
Sadhukhan, D., & Rao, S. V. (2020). Energy efficient multi-beacon guard method for periodic data gathering in time-synchronized WSN. Wireless Networks, 26(7), 5337–5354.CrossRef
12.
Sichitiu, M. (2004). Cross-layer scheduling for power efficiency in wireless sensor networks. In Proceedings of IEEE infocom.
13.
Rajendran, V., Obraczka, K., & Garcia-Luna-Aceves, J. (2006). Energy-efficient, collision- free medium access control for wireless sensor networks. Journal of Wireless Networking, 12, 63–78.CrossRef
14.
Zhao, Y., Wu, J., & Lu, S. (2010). Vbs: Maximum lifetime sleep scheduling for wireless sensor networks using virtual backbones. In Proceedings of IEEE infocom.
15.
Jang, U., Lee, S., & Yoo, S. (2012). Optimal wake-up scheduling of data gathering trees for wireless sensor networks. Journal of Parallel and Distributed Computing, 72, 536–546.CrossRef
16.
Pantazis, N. A., Nikolidakis, S. A., & Vergados, D. D. (2013). Energy-efficient routing protocols in wireless sensor networks: A survey. IEEE Communications Surveys & Tutorials, 15(2), 551–591.CrossRef
17.
Awerbuch, B., Brinkmann, A., & Scheideler, C. (2002). Anycasting and multicasting in adversarial systems: Routing and admission control. Baltimore, MD: The Johns Hopkins University.MATH
18.
Hu, W., Bulusu, N., & Jha, S. (2005). A communication paradigm for hybrid sensor/actuator networks*. International Journal of Wireless Information Networks, 12(1), 47–59.CrossRef
19.
Zorzi, M., & Rao, R. R. (2003). Geographic random forwarding (GeRaF) for ad hoc and sensor networks: Energy and latency performance. IEEE Transactions on Mobile Computing, 2(4), 349–365.CrossRef
20.
Liu, S., Fan, K.W., & Sinha, P. (2007). Cmac: An energy efficient mac layer protocol using convergent packet forwarding for wireless sensor networks. In 4th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks, 2007. SECON ’07 (pp .11–20). https://​doi.​org/​10.​1109/​SAHCN.​2007.​4292813.
21.
Biswas, S., & Morris, R. (2005). Exor: Opportunistic multi-hop routing for wireless networks. In Proceedings of ACM SIGCOMM.
22.
23.
Rossi, M., Zorzi, M., & Rao, R. R. (2008). Statistically assisted routing algorithms (SARA) for hop count based forwarding in wireless sensor networks. Journal of Wireless Networks, 14(1), 55–70.CrossRef
24.
Mitton, N., Simplot-Ryl, D., & Stojmenovic, I. (2009). Guaranteed delivery for geographical anycasting in wireless multi-sink sensor and sensor-actor networks. In Proceedings of 28th annual IEEE conference on computer communications (INFOCOM 2009).
25.
Kim Joohwan SNB Lin Xiaojun. (2011). Optimal anycast technique for delay-sensitive energy-constrained asynchronous sensor networks. IEEE/ACM Transactions on Networking, 19(2), 484–497.CrossRef
26.
Manjeshwar, A., & Agrawal, D. (2002). Apteen: A hybrid protocol for efficient routing and comprehensive information retrieval in wireless. In Proceedings of IEEE IPDPS
27.
Srisathapornphat, C., Jaikaeo, C., & Shen, C. C. (2000). Sensor information networking architecture. In 2000 international workshops on parallel processing, 2000. Proceedings (pp. 23–30). IEEE.
28.
Lee, B. D., & Lim, K. H. (2012). An energy-efficient hybrid data-gathering protocol based on the dynamic switching of reporting schemes in wireless sensor networks. IEEE Systems Journal, 6(3), 378–387.CrossRef
29.
Lee, B. D., & Lim, K. H. (2011). An energy-efficient hybrid data-gathering protocol based on the dynamic switching of reporting schemes in wireless sensor networks. IEEE Systems Journal, 6(3), 378–387.
30.
Bhuiyan, M. Z. A., Wu, J., Wang, G., Wang, T., & Hassan, M. M. (2017). e-sampling: Event-sensitive autonomous adaptive sensing and low-cost monitoring in networked sensing systems. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 12(1), 1–29.CrossRef
31.
Nagarajan, R., & Dhanasekaran, R. (2018). Energy efficient data transmission approaches for wireless industrial automation. Current Signal Transduction Therapy, 13(1), 37–43.CrossRef
32.
Alsheikh, M. A., Lin, S., Niyato, D., & Tan, H. P. (2014). Machine learning in wireless sensor networks: Algorithms, strategies, and applications. IEEE Communications Surveys & Tutorials, 16(4), 1996–2018.CrossRef
33.
34.
Hu, Y., Niu, Y., Lam, J., & Shu, Z. (2017). An energy-efficient adaptive overlapping clustering method for dynamic continuous monitoring in wsns. IEEE Sensors Journal, 17(3), 834–847.CrossRef
35.
Bandyopadhyay, S., & Coyle, E. J. (2003). An energy efficient hierarchical clustering algorithm for wireless sensor networks. In INFOCOM 2003. Twenty-second annual joint conference of the IEEE computer and communications (Vol. 3, pp. 1713–1723). IEEE Societies. https://​doi.​org/​10.​1109/​INFCOM.​2003.​1209194.
36.
Gandham, S., Zhang, Y., & Huang, Q. (2008). Distributed time-optimal scheduling for convergecast in wireless sensor networks. Computer Networks, 52(3), 610–629.CrossRef
37.
Ma, J., Lou, W., Wu, Y., Yang Li, X., & Chen, G. (2009). Energy efficient tdma sleep scheduling in wireless sensor networks. In Proceedings of IEEE INFOCOM
38.
Elson, J., Girod, L., & Estrin, D. (2002). Fine-grained network time synchronization using reference broadcasts. In Proceedings of USENIX/ACM OSDI.
Metadata
Title
Minimizing Critical Event Delay and Maximizing Lifetime in a Hybrid Data-Gathering Protocol for WSNs
Authors
Debanjan Sadhukhan
Seela Veerabhadreswara Rao
Publication date
02-01-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 1/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07999-4

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