Data pre-forwarding for opportunistic data collection in wireless sensor networks

9th International Conference on Networked Sensing Systems, INSS 2012 - Conference Proceedings

Volumn , Issue , 2012, Pages

  Wu, Xiuchao ^a   Brown, Kenneth N ^a   Sreenan, Cormac J ^a  

^a UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC ALGORITHMS; MOBILE TELECOMMUNICATION SYSTEMS; SENSOR NODES;

ENERGY CONSTRAINT; EVALUATION RESULTS; HUMAN MOBILITY; NETWORK THROUGHPUT; OPPORTUNISTIC DATA COLLECTIONS; SPATIAL LOCALITY; STATION INFRASTRUCTURE; WIRELESS SENSOR NETWORK APPLICATIONS;

DATA ACQUISITION;

EID: 84865019651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/inss.2012.6240555     Document Type: Conference Paper

References (21)

1. V. Bharghavan, A. J. Demers, S. Shenker, and L. Zhang. Macaw: A media access protocol for wireless lans. In SIGCOMM, 1997.
2. M. Buettner, G. V. Yee, E. Anderson, and R. Han. X-mac: A short preamble mac protocol for duty-cycled wireless sensor networks. In SENSYS, 2006.
3. A. Dunkels, B. Gronvall, and T. Voigt. Contiki - a lightweight and flexible operating system for tiny networked sensors. In LCN, 2004.
4. V. Dyo, S. A. Ellwood, D. W. Macdonald, A. Markham, C. Mascolo, B. Pasztor, S. Scellato, N. Trigoni, R. Wohlers, and K. Yousef. Evolution and sustainability of a wildlife monitoring sensor network. In Sensys, 2010.
5. M. C. Gonzalez, C. A. Hidalgo, and A.-L. Barabasi. Understanding individual human mobility patterns. Nature, 453:779-782, 2008.
6. A. Kaltenbrunner, R. Meza, J. Grivolla, J. Codina, and R. Banchs. Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system. Pervasive and Mobile Computing, 6(4):455-466, August 2010.
7. Z. Li, M. Li, J. Wang, and Z. Cao. Ubiquitous data collection for mobile users in wireless sensor networks. In IEEE INFOCOM, 2011.
8. H. Lin, M. Lu, N. Milosavljevic, J. Gao, and L. J. Guibas. Composable information gradients in wireless sensor networks. In IPSN, 2008.
9. R. Musaloiu-E, C.-J. M. Liang, and A. Terzis. Koala: Ultra-low power data retrieval in wireless sensor networks. In IPSN, 2008.
10. F. Osterlind, A. Dunkels, J. Eriksson, N. Finne, and T. Voigt. Cross-level simulation in cooja. In EWSN, 2007.
11. U. Park and J. Heidemann. Data muling with mobile phones for sensornets. In Sensys, 2011.
12. B. Pasztor, M. Musolesi, and C. Mascolo. Opportunistic mobile sensor data collection with scar. In MASS, 2007.
13. J. Polastre, R. Szewczyk, and D. Culler. Telos: Enabling ultra-low power wireless research. In IPSN, 2005.
14. V. Rajendran, K. Obraczka, and J. Garcia-Luna-Aceves. Energy-efficient, collision-free medium access control for wireless sensor networks. In Sensys, 2003.
15. R. C. Shah, S. Roy, S. Jain, and W. Brunette. Data mules: Modeling a three-tier architecture for sparse sensor networks. In IEEE SNPA Workshop, 2003.
16. A. A. Somasundara, A. Kansal, D. D. Jea, D. Estrin, and M. B. Srivastava. Controllably mobile infrastructure for low energy embedded networks. IEEE Transactions on Mobile Computing, 5(8):958-973, August 2006.
17. P. Sommer and R. Wattenhofer. Gradient clock synchronization in wireless sensor networks. In IPSN, 2009.
18. W. Wang, V. Srinivasan, and K.-C. Chua. Using mobile relays to prolong the lifetime of wireless sensor networks. In Mobicom, 2005.
19. X. Wu, K. N. Brown, and C. J. Sreenan. Exploiting rush hours for energy-efficient contact probing in opportunistic data collection. In IEEE ICDCS Workshops, 2011.
20. X. Wu, K. N. Brown, and C. J. Sreenan. SNIP: A sensor node-initiated probing mechanism for opportunistic data collection in sparse wireless sensor networks. In IEEE INFOCOM Workshops, 2011.
21. M. Zhao and Y. Yang. Bounded relay hop mobile data gathering in wireless sensor networks. In MASS, 2009.