Latency-constrained aggregation in sensor networks

ACM Transactions on Algorithms

Volumn 6, Issue 1, 2009, Pages

  Becchetti, Luca ^a   Marchetti Spaccamela, Alberto ^a   Vitaletti, Andrea ^a   Korteweg, Peter ^b   Skutella, Martin ^c   Stougie, Leen ^d  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^d VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

Competitive analysis; Data aggregation; Distributed algorithms; Wireless sensor networks

Indexed keywords

COMMUNICATION PATH; COMPETITIVE ANALYSIS; DATA AGGREGATION; DATA DELIVERY; DISTRIBUTED ALGORITHM; DISTRIBUTED ALGORITHMS; ENERGY CONSUMPTION; ENERGY-CONSTRAINED; LATENCY CONSTRAINTS; LOWER BOUNDS; MAXIMUM DELAY; OFF-LINE PROBLEMS; OPTIMALITY; SAVE ENERGY; SENSING DEVICES; STRONGLY NP-HARD; TOTAL ENERGY CONSUMPTION; WIRELESS COMMUNICATIONS;

APPROXIMATION ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA HANDLING; ELECTRIC LOAD FORECASTING; SENSOR NETWORKS; SENSOR NODES; TELECOMMUNICATION EQUIPMENT; WIRELESS TELECOMMUNICATION SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 74049128688     PISSN: 15496325     EISSN: 15496333     Source Type: Journal    
DOI: 10.1145/1644015.1644028     Document Type: Article

References (21)

1. AKYILDIZ, I., SU, W., SANAKARASUBRAMANIAM, Y., AND CAYIRCI, E. 2002. Wireless sensor networks: A survey. Comput. Netw. J. 38, 4, 393-422.
2. BECCHETTI, L.,KORTEWEG, P.,MARCHETTI-SPACCAMELA, A., SKUTELLA,M., STOUGIE, L., ANDVITALETTI, A. 2006. Latency constrained aggregation in sensor networks. SPOR-report 2006-2008, TU Eindhoven. www.win.tue.nl/bs/spor.
3. BOULIS, A.,GANERIWAL, S., AND SRIVASTAVA,M. B. 2003. Aggregation in sensor networks: An energyaccuracy tradeoff. Ad-hoc Netw. J. 1, 2-3, 317-331.
4. BRITO, C.,KOUTSOUPIAS, E., ANDVAYA, S. 2004. Competitive analysis of organization networks or multicast acknowledgement: How much to wait? In Proceedings of the 15th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). 627-635.
5. BRODER, A., AND MITZENMACHER, M. 2002. Optimal plans for aggregation. In Proceedings of the 21st Annual Symposium on Principles of Distributed Computing (PODC). 144-152.
6. ELSON, J., AND ESTRIN, D. 2001. Time synchronization for wireless sensor networks. In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS), Workshop on Parallel and Distributed Computing Issues in Wireless and Mobile Computing. 1965-1970.
7. ELSON, J., GIROD, L., AND ESTRIN, D. 2002. Fine-Grained network time synchronization using reference broadcasts. In Proceedings of the 5th ACMSymposium on Operating System Design and Implementation (OSDI). 147-164.
8. ELSON, J., AND RÖMER, K. 2003. Wireless sensor networks: A new regime for time synchronization. Comput. Comm. Rev. 33, 1, 149-154.
9. FINKE, G., JOST, V., QUEYRANNE, M., AND SEBÖ, A. 2004. Batch processing with interval graph compatibilities between tasks. In Les Cahiers du Laboratoire, 118. Leibniz-IMAG.
10. GANERIWAL, S., KUMAR, R., AND SRIVASTAVA, M. 2003. Timing-Sync protocol for sensor networks. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys). 138-149.
11. GOEL, A., AND ESTRIN, D. 2003. Simultaneous optimization for concave costs: Single sink aggregation or single source buy-at-bulk. In Proceedings of the 14th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). 499-505.
12. HEINZELMAN, W., CHANDRAKASAN, A., AND BALAKRISHNAN,H. 2000. Energy efficient communication protocols for wireless microsensor networks. In Proceedings of the Hawaiian International Conference on Systems Science. 3005-3014.
13. HU, F., CAO, X., AND MAY, C. 2005. Optimized scheduling for data aggregation in wireless sensor networks. In Proceedings of the International Conference on Information Technology Coding and Computing (ITCC). 557-561.
14. INTANAGONWIWAT, C., ESTRIN, D., GOVINDAN, . R., AND HEIDEMANN, J. 2002. Impact of network density on data aggregation in wireless sensor networks. In Proceedings of the 22nd International Conference on Distributed Computing Systems (ICDCS). 414-458.
15. INTANAGONWIWAT, C., GOVINDAN, R., AND ESTRIN, D. 2000. Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Mobile Computing and Networking. 56-67.
16. KALPAKIS, K., DASGUPTA, K., AND NAMJOSHI, P. 2003. Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks. Comput. Netw. 42, 6, 697-716.
17. LINDSEY, S., AND RAGHAVENDRA, C. S. 2000. Pegasis: Power-Efficient gathering in sensor information systems. In Proceedings of the IEEE Aerospace Conference. 1125-1130.
18. MADDEN, S., FRANKLIN, M. J., HELLERSTEIN, J. M., AND HONG, W. 2002. Tag: A tiny aggregation service for ad-hoc sensor networks. In Proceedings of the 5th ACM Symposium on Operating System Design and Implementation (OSDI). 131-146.
19. MADDEN, S., FRANKLIN, M. J., HELLERSTEIN, J. M., AND HONG, W. 2005. Tinydb: An acquisitional query processing system for sensor networks. ACM Trans. Datab. Syst. 30, 1, 122-173.
20. POTTIE, G. J., AND KAISER, W. J. 2000. Wireless integrated network sensors. Comm. ACM 43, 5, 51-58.
21. YUAN, W., KRISHNAMURTHY, V. S., AND TRIPATHI, S. K. 2003. Synchronization of multiple levels of data fusion in wireless sensor networks. In Proceedings of IEEE GlobeCom. 221-225.