Abstract
This chapter presents our approaches for energy-efficient techniques in wireless sensor networks. First, we present requirements on scheduling mechanism in a wireless sensor network and introduce our approaches on energy-efficient and adaptive control mechanisms. Second, we introduce our data aggregation method that exploits the characteristics of data and communication in a wireless sensor network. Finally, we discuss our future plan to interoperate our lower layer and higher layer techniques.
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Alippi, C., Anastasi, G., Galperti, C., Mancini, F., Roveri, M.: Adaptive sampling for energy conservation in wireless sensor networks for snow monitoring applications. In: Proc. IEEE Int’l Conf. on Mobile Ad-hoc and Sensor Systems (MASS 2007), pp. 1–6 (2007)
Anastasi, G., Conti, M., Francesco, M.D., Passarella, A.: An adaptive and low-latency power management protocol for wireless sensor networks. In: Proc. ACM Int’l Workshop on Mobility Management and Wireless Access, MobiWac 2006 (2006)
Arici, T., Altunbasak, Y.: Adaptive sensing for environment monitoring using wireless sensor networks. In: Proc. IEEE Wireless Communications and Networking Conf. (IWNC 2004), vol. 4, pp. 2347–2352 (2004)
Banerjee, T., Choudhury, K., Agrawal, D.P.: Tree based data aggregation in sensor networks using polynomial regression. In: Proc. Int’l Conf. on Information Fusion (FUSION 2005), vol. 2, pp. 25–29 (2005)
Banerjee, T., Choudhury, K., Agrawal, D.P.: Distributed data aggregation in sensor networks by regression based compression. In: Proc. Int’l. Conf. on Mobile Ad-hoc and Sensor Systems (MASS 2005), pp. 290–293 (2005)
Bonabeau, E., Sobkowski, A., Theraulaz, G., Deneubourg, J.L.: Adaptive task allocation inspired by a model of division of labor in social insects. In: Proc. Biocomputing and Emergent Computation, pp. 36–45 (1997)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence: from natural to artificial systems. Oxford University Press, Oxford (1999)
Cerpa, A., Estrin, D.: ASCENT: Adaptive self-configuring sensor networks topologies. IEEE Trans. Mobile Computing 3(3), 272–285 (2004)
Chen, B., Jamieson, K., Balakrishnan, H., Morris, R.: Span: An energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. ACM Wireless Network Journal 8(5), 481–494 (2002)
Chu, D., Deshpande, A., Hellerstein, J.M., Hong, W.: Approximate data collection in sensor networks using probabilistic models. In: Proc. Int’l Conf. on data engineering (ICDE 2006), pp. 48–60 (2006)
Dai, H., Han, R.: TSync: a lightweight bidirectional time synchronization service for wireless sensor networks. SIGMOBILE Mobile Computing and Communications Review 8(1), 125–139 (2004)
Deshpande, A., Guestrin, C., Madden, S.R., Hellerstein, J.M., Hong, W.: Model-driven data acquisition in sensor networks. In: Proc. Int’l Conf. on Very Large Data Bases (VLDB 2004), pp. 588–599 (2004)
Goel, P., Ermentrout, B.: Synchrony, stability, and firing patterns in pulse-coupled oscillators. Physica D 163, 191–216 (2002)
Guestin, C., Bodi, P., Thibau, R., Paski, M., Madden, S.: Distributed regression: an efficient framework for modeling sensor network data. In: Proc. Int’l Symposium on Information Processing in Sensor Networks (IPSN 2004), pp. 1–10 (2004)
Huang, C.F., Tseng, Y.C., Wu, H.L.: Distributed protocols for ensuring both coverage and connectivity of a wireless sensor network. ACM Trans. Sensor Networks 3(1) (2007)
Iima, Y., Kanzaki, A., Hara, T., Nishio, S.: Overhearing-based data transmission reduction for periodical data gathering in wireless sensor networks. In: Proc. Int’l Workshop on Data Management for Information Explosion in Wireless Networks (DMIEW 2009), pp. 1048–1053 (2009)
Iima, Y., Kanzaki, A., Hara, T., Nishio, S.: An evaluation of overhearing-based data transmission reduction in wireless sensor networks. In: Proc. Int’l Workshop on Sensor Network Technologies for Information Explosion Era (SeNTIE 2009), pp. 519–524 (2009)
Kotidis, Y.: Snapshot queries: towards data-centric sensor networks. In: Proc. Int’l Conf. on Data Engineering (ICDE 2005), pp. 131–142 (2005)
Labella, T.H., Dressler, F.: A bio-inspired architecture for division of labour in SANETs. In: Proc. Int’l Conf. on Bio-inspired Models of Network, Information and Computing Systems (Bionetics 2006), pp. 211–230 (2006)
Low, K.H., Leow, W.K., Marcelo, H., Ang, J.: Autonomic mobile sensor network with self-coordinated task allocation and execution. IEEE Trans. Systems, Man, and Cybernetics 36(3), 315–327 (2006)
Lu, G., Krishnamachari, B., Raghavendra, C.S.: An adapive energy-efficient and low-latency MAC for tree-based data gathering in sensor networks. Wireless Communications & Mobile Computing 7(7), 863–875 (2007)
MICAz_Datasheet.pdf, http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/MICAz_Datasheet.pdf. (Cited June 8, 2009)
Mirollo, R.E., Strogatz, S.H.: Synchronization of pulse-coupled biological oscillators. Society for Industrial and Applied Mathematics. Journal on Applied Mathematics 50(6), 1645–1662 (1990)
Simeone, O., Spagnolini, U.: Distributed time synchronization in wireless sensor networks with coupled discrete-time oscillators. EURASIP Journal on Wireless Communications and Networking (2007), doi:10.1155/2007/57054
Sun, Y., Gurewitz, O., Johnson, D.B.: RI-MAC: A receiver initiated asynchronous duty cycle MAC protocol for dynamic traffic load. In: Proc. ACM Conf. on Embedded Networked Sensor Systems, SenSys 2008 (2008)
Taniguchi, Y., Wakamiya, N., Murata, M.: A traveling wave based communication mechanism for wireless sensor networks. Academy Publisher Journal of Networks 2(5), 24–32 (2007)
Taniguchi, Y., Wakamiya, N., Murata, M., Fukushima, T.: An autonomous data gathering scheme adaptive to sensing requirements for industrial environment monitoring. In: Proc. IFIP Int’l Conf. on New Technologies, Mobility and Security (NTMS 2008), pp. 52–56 (2008)
Tulone, D., Madden, S.: PAQ: time series forecasting for approximate query answering in sensor networks. In: Römer, K., Karl, H., Mattern, F. (eds.) EWSN 2006. LNCS, vol. 3868, pp. 21–37. Springer, Heidelberg (2006)
Tulone, D., Madden, S.: An energy-efficient querying framework in sensor networks for detecting node similarities. In: Proc. Int’l Symposium on Modeling, Analysis and Simulatoin of Wireless and Mobile Systems (MSWiM 2006), pp. 291–300 (2006)
Wakamiya, N., Murata, M.: Synchronization-based data gathering scheme for sensor networks. IEICE Trans. Communicatios (Special Issue on Ubiquitous Networks) E88-B(3), 873–881 (2005)
Xing, G., Wang, X., Zhang, Y., Lu, C., Pless, R., Gill, C.: Integrated coverage and connectivity configuration for energy conservation in sensor networks. ACM Trans. Sensor Networks 1(1), 36–72 (2005)
Younis, O., Fahmy, S.: Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach. In: Proc. IEEE INFOCOM 2004 (2004)
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Kanzaki, A., Wakamiya, N., Hara, T. (2010). Energy-Efficient Task Scheduling and Data Aggregation Techniques in Wireless Sensor Networks for Information Explosion Era. In: Hara, T., Zadorozhny, V.I., Buchmann, E. (eds) Wireless Sensor Network Technologies for the Information Explosion Era. Studies in Computational Intelligence, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13965-9_2
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DOI: https://doi.org/10.1007/978-3-642-13965-9_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13964-2
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