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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2017

12.08.2017

Effect of Clock Skew in Event Driven, Delay Constrained Heterogeneous WSN with Anycast

verfasst von: Debanjan Sadhukhan, Seela Veerabhadreswara Rao

Erschienen in: Wireless Personal Communications | Ausgabe 4/2017

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Abstract

In time critical event driven data gathering, anycasting technique is considered as one of the best methods that minimizes delay and maximizes lifetime. Moreover, asynchronous sleep/wake scheduling techniques like anycasting, is energy efficient compared to synchronous sleep/wake scheduling in rare event detection. However, asynchronous techniques incur additional delay during the event reporting as a result of the clock skew which may violate the delay constraint for a large number of packets. In this paper, we find the critical wake-up rate to constrain the increase in end-to-end delay, as a result of clock-skew, within given delay constraint \(\xi\), by estimating the expected increase in end-to-end delay using a stochastic approach. We verify our mathematical analysis using Monte-carlo simulation. Further simulation results in network simulator 2.34 (ns2) confirm the effectiveness of our approach.
Vorheriger Artikel Advanced Heuristics for Selecting Friends in Social Internet of Things
Nächster Artikel Coverage and Association Bias Analysis for Backhaul Constrained HetNets with eICIC and CRE

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Literatur
1.
Biswas, S., & Morris, R. (2005). ExOR: Opportunistic multi-hop routing for wireless networks. In ACM SIGCOMM Computer Communication Review (Vol. 35, No. 4, pp. 133–144). ACM.
2.
Buettner, M., Yee, G. V., Anderson, E., & Han, R. (2006). X-MAC: A short preamble MAC protocol for duty-cycled wireless sensor networks. In Proceedings of the 4th international conference on embedded networked sensor systems (pp. 307–320). ACM.
3.
Elson, J., Girod, L., & Estrin, D. (2002). Fine-grained network time synchronization using reference broadcasts. ACM SIGOPS Operating Systems Review, 36(SI), 147–163.CrossRef
4.
Ganeriwal, S., Kumar, R., & Srivastava, M. B. (2003). Timing-sync protocol for sensor networks. In Proceedings of the 1st international conference on embedded networked sensor systems (pp. 138–149). ACM.
5.
Ganeriwal, S., Ganesan, D., Shim, H., Tsiatsis, V., & Srivastava, M. B. (2005). Estimating clock uncertainty for efficient duty-cycling in sensor networks. In Proceedings of the 3rd international conference on embedded networked sensor systems (pp. 130–141). ACM.
6.
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
7.
Kim, J., Lin, X., Shroff, N. B., & Sinha, P. (2010). Minimizing delay and maximizing lifetime for wireless sensor networks with anycast. IEEE/ACM Transactions on Networking (TON), 18(2), 515–528.CrossRef
8.
Kim, J., Lin, X., & Shroff, N. B. (2011). Optimal anycast technique for delay-sensitive energy-constrained asynchronous sensor networks. IEEE/ACM Transactions on Networking (TON), 19(2), 484–497.CrossRef
9.
Lasassmeh, S. M., & Conrad, J. M. (2010). Time synchronization in wireless sensor networks: A survey. In Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon) (pp. 242–245). IEEE.
10.
Liu, S., Fan, K. W., & Sinha, P. (2009). CMAC: An energy-efficient MAC layer protocol using convergent packet forwarding for wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 5(4), 29.CrossRef
11.
Lu, G., Krishnamachari, B., & Raghavendra, C. S. (2004). An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks. In Proceedings of 18th international parallel and distributed processing symposium (p. 224). IEEE.
12.
Ma, J., Lou, W., Wu, Y., Li, X. Y., & Chen, G. (2009). Energy efficient TDMA sleep scheduling in wireless sensor networks. In INFOCOM 2009, IEEE (pp. 630–638). IEEE.
13.
Marti, M., Kusy, B., Simon, G., & Ldeczi, A. (2004). The flooding time synchronization protocol. In Proceedings of the 2nd international conference on Embedded networked sensor systems (pp. 39–49). ACM.
14.
Mills, D. L. (1991). Internet time synchronization: The network time protocol. IEEE Transactions on Communications, 39(10), 1482–1493.CrossRef
15.
Mitton, N., Simplot-Ryl, D., & Stojmenovic, I. (2009). Guaranteed delivery for geographical anycasting in wireless multi-sink sensor and sensor-actor networks. In INFOCOM 2009, IEEE.
16.
Polastre, J., Hill, J., & Culler, D. (2004). Versatile low power media access for wireless sensor networks. In Proceedings of the 2nd international conference on Embedded networked sensor systems (pp. 95–107). ACM.
17.
Rossi, M., & Zorzi, M. (2007). Integrated cost-based MAC and routing techniques for hop count forwarding in wireless sensor networks. IEEE Transactions on Mobile Computing, 6(4), 434–448.CrossRef
18.
Rossi, M., Zorzi, M., & Rao, R. R. (2008). Statistically assisted routing algorithms (SARA) for hop count based forwarding in wireless sensor networks. Wireless Networks, 14(1), 55–70.CrossRef
19.
Schurgers, C., Tsiatsis, V., & Srivastava, M. B. (2002). STEM: Topology management for energy efficient sensor networks. In Aerospace conference proceedings (Vol. 3, pp. 3–1099). IEEE.
20.
Sichitiu, M. L., & Veerarittiphan, C. (2003). Simple, accurate time synchronization for wireless sensor networks. In Wireless communications and networking, WCNC 2003 (Vol. 2, pp. 1266–1273). IEEE.
21.
Sundararaman, B., Buy, U., & Kshemkalyani, A. D. (2005). Clock synchronization for wireless sensor networks: A survey. Ad Hoc Networks, 3(3), 281–323.CrossRef
22.
Tseng, Y. C., Hsu, C. S., & Hsieh, T. Y. (2003). Power-saving protocols for IEEE 802.11-based multi-hop ad hoc networks. Computer Networks, 43(3), 317–337.CrossRefMATH
23.
Van Dam, T., & Langendoen, K. (2003). An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 1st international conference on Embedded networked sensor systems (pp. 171–180). ACM.
24.
Van Greunen, J., & Rabaey, J. (2003). Lightweight time synchronization for sensor networks. In Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications (pp. 11–19). ACM.
25.
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
26.
Ye, W., Heidemann, J., & Estrin, D. (2004). Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Transactions on Networking, 12(3), 493–506.CrossRef
27.
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
Metadaten
Titel
Effect of Clock Skew in Event Driven, Delay Constrained Heterogeneous WSN with Anycast
verfasst von
Debanjan Sadhukhan
Seela Veerabhadreswara Rao
Publikationsdatum
12.08.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4760-8

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