Abstract
Query processing in mobile Wireless Sensor Networks (WSNs) is still a challenging problem because sensor mobility causes frequent changes of network topology. In this paper, we study the problem of processing Continuous Location Dependent Query (CLDQ) that retrieves the sampling data of the sensors within a specific area (i.e. query area) around a mobile sensor. Existing query processing approaches can not efficiently process CLDQs with continuously moving query areas. We propose scalable techniques to process CLDQs efficiently and accurately, including a dissemination approach, a Contention-based Distance-aware Message Scheduling scheme, in which each stationary sensor’s data transmissions are smartly scheduled according to its distance to the mobile sensor, and an optimization scheme for continuous processing of CLDQs. Extensive experiments indicate that our techniques demonstrate better efficiency of processing CLDQs over state-of-the-art techniques while achieving high accuracy and short query latency under various network settings.
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References
Borgne Y. A. L., Silvia S., Bontempi G. (2007) Adaptive model selection for time series prediction in wireless sensor networks. Singnal Processing 87(12): 3010–3020
Brockwell P. J., Davis R. A. (2002) Introduction to time series and forecasting. Springer-Verlag, New York
Fujimoto M. R. (2000) Parallel and distributed simulation systems. Wiley-Interscience, London
Gedik B., Wu K. L., Yu P. S., Liu L. (2006) Processing moving queries over moving objects using motion-adaptive indexes. IEEE Transactions on Knowledge and Data Engineering 18(5): 651–668
Hong, L., Wu, Y., Son, S. H., & Lu, Y. (2009). Event-based location dependent data services in mobile WSNs. In RTCSA (pp. 331–340).
Hu F., Wang Y., Wu H. (2006) Mobile telemedicine sensor networks with low-energy data query and network lifetime considerations. IEEE Transactions on Mobile Computing 5(4): 404–417
Huang, H., Hartman, J. H., & Hurst, T. N. (2006). Efficient and robust query processing for mobile wireless sensor networks. In GLOBECOM (pp. 1–5).
Ilarri S., Mena E., Illarramendi A. (2006) Location-dependent queries in mobile contexts: Distributed processing using mobile agents. IEEE Transantions on Mobile Computing 5(8): 1029–1043
Ilarri S., Mena E., Illarramendi A. (2010) Location-dependent query processing: Where we are and where we are heading. ACM Computing Surveys 42(3): 1–73
Ishihara, S., & Suda, T. (2009). Replica arrangement scheme for location dependent information on sensor networks with unpredictable query frequency. In ICC.
Kamra, A., Misra, V., & Rubenstein, D. (2007). Counttorrent: Ubiquitous access to query aggregates in dynamic and mobile sensor networks. In Sensys (pp. 43–57).
Karp, B., & Kung, H. T. (2000). GPSR: Greedy perimeter stateless routing for wireless networks. In MobiCom (pp. 243–254).
Kim, H. S., Abdelzaher, T. F., & Kwon, W. H. (2003). Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks. In Sensys (pp. 193–204).
Liu C., Wu K., Pei J. (2007) An energy-efficient data collection framework for wireless sensor networks by exploiting spatiotemporal correlation. IEEE Transactions on Parallel and Distributed Systems 18(7): 1010–1023
Lu, C., Xing, G., Chipara, O., Fok, C. L., & Bhattacharya, S. (2005). A spatiotemporal query service for mobile users in sensor networks. In Proceedings of the 25th IEEE international conference on distributed computing systems (pp. 381–390)
Madden, S., Franklin, M. J., Hellerstein, J. M., & Hong, W. (2002). TAG: A tiny aggregation service for ad-hoc sensor networks. In OSDI (pp. 131–146).
Madden S., Franklin M. J., Hellerstein J. M., Hong W. (2005) TinyDB: An acquisitional query processing system for sensor networks. ACM Transactions on Database Systems 30(1): 122–173
Stoleru R., Stankovic J. A., Son S. (2008) On composability of localization protocols for wireless sensor networks. IEEE Network Magazine, Special Issue on Composable Context Aware Services 22(4): 21–25
Tulone, D., & Madden, S. (2006). PAQ: Time series forecasting for approximate query answering in sensor networks. In EWSN (pp. 21–37).
Wu, Y., Zhang, L., Wu, Y., & Niu, Z. (2006). Interest dissemination with directional antennas for wireless sensor networks with mobile sinks. In Sensys (pp. 99–111).
Xu, Y., Lee, W. C., Xu, J., & Mitchell, G. (2006). Processing window queries in wireless sensor networks. In ICDE (pp. 70–80).
Yang, X., Lim, H. B., Ozsu, M. T., & Tan, K. L. (2007). In-network execution of monitoring queries in sensor networks. In SIGMOD (pp. 521–532).
Ye, F., Luo, H., Cheng, J., Lu, S., & Zhang, L. (2002). A two-tier data dissemination model for largescale wireless sensor networks. In MobiCom (pp. 148–159).
Yoon, J., Liu, M., & Noble, B. (2003). Sound mobility models. In MobiCom.
Zeng X., Bagrodia R., Gerla M. (1998) GloMoSim: A library for parallel simulation of large-scale wireless networks. ACM SIGSIM Simulation Digest 28(1): 154–161
Zhang, Y., Hull, B., Balakrishnan, H., & Madden, S. (2007). ICEDB: Intermittently-connected continuous query processing. In ICDE (pp. 166–175)
Zhao, W., & Tang, X. (2011). Scheduling data collection with dynamic traffic patterns in wireless sensor networks. In INFOCOM.
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Hong, L., Zhou, G., Liu, B. et al. Continuous Location Dependent Queries in Mobile Wireless Sensor Networks. Wireless Pers Commun 68, 153–173 (2013). https://doi.org/10.1007/s11277-011-0444-y
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DOI: https://doi.org/10.1007/s11277-011-0444-y