Value of information and mobility constraints for sampling with mobile sensors

Computers and Geosciences

Volumn 49, Issue , 2012, Pages 102-111

  Ballari, Daniela ^a   de Bruin, Sytze ^a   Bregt, Arnold K ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Adaptive spatial sampling; Environmental monitoring; Mobile mapping; Mobile wireless sensor network; Prediction error

Indexed keywords

ENVIRONMENTAL MONITORING; MOBILE MAPPING; MOBILE WIRELESS SENSOR NETWORK; PREDICTION ERRORS; SPATIAL SAMPLING;

ENVIRONMENTAL ENGINEERING; FORECASTING; MONITORING; SENSORS;

WIRELESS SENSOR NETWORKS;

ENVIRONMENTAL MONITORING; ERROR ANALYSIS; INFORMATION; MAPPING METHOD; MOBILE COMMUNICATION; SAMPLING; SENSOR; SPATIAL ANALYSIS;

EID: 84866686326     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2012.07.005     Document Type: Article

References (58)

1. Akyildiz I., Su W., Sankarasubramaniam Y., Cayirci E. Wireless sensor networks: a survey. Computer Networks 2002, 38:393-422.
2. Argany M., Mostafavi M., Karimipour F., Gagné C. A GIS based wireless sensor network coverage estimation and optimization: a Voronoi approach. Transactions on Computational Science XIV 2011, 151-172.
3. Ballari D., Wachowicz M., Bregt A.K., Manso-Callejo M. A mobility constraint model to infer sensor behaviour in forest fire risk monitoring. Computers, Environment and Urban Systems 2012, 36:81-95.
4. Basagni S., Carosi A., Melachrinoudis E., Petrioli C., Wang Z. Controlled sink mobility for prolonging wireless sensor networks lifetime. Wireless Networks 2008, 14:831-858.
5. Berger J.O. Statistical Decision Theory and Bayesian Analysis 1985, Springer.
6. Bhattacharjya D., Eidsvik J., Mukerji T. The value of information in spatial decision making. Mathematical Geosciences 2010, 42:141-163.
7. Bielza C., Gómez M., Shenoy P.P. Modeling challenges with influence diagrams: constructing probability and utility models. Decision Support Systems 2010, 49:354-364.
8. Brus D.J., Heuvelink G. Optimization of sample patterns for universal kriging of environmental variables. Geoderma 2007, 138:86-95.
9. Campbell A., Eisenman S., Lane N., Miluzzo E., Peterson R., Lu H., Zheng X., Musolesi M., Fodor K., Ahn G. The rise of people-centric sensing. IEEE Internet Computing 2008, 4:12-21.
10. Dantu, K., Rahimi, M., Shah, H., Babel, S., Dhariwal, A., Sukhatme, G.S., 2005. Robomote: enabling mobility in sensor networks. In: Proceedings of the 4th International Symposium on Information Processing in Sensor Networks. IEEE Press, Los Angeles, California, USA, pp. 404-409.
11. de Bruin S., Bregt A., van de Ven M. Assessing fitness for use: the expected value of spatial data sets. International Journal of Geographical Information Science 2001, 15:457-471.
12. de Gruijter J., Brus D.J., Bierkens M.F.P., Knotters M. Sampling for Natural Resource Monitoring 2006, Springer Verlag, Berlin, Heidelberg, New York, 332 pp. 1st edn.
13. Donaldson-Matasci M.C., Bergstrom C.T., Lachmann M. The fitness value of information. Oikos 2010, 119:219-230.
14. Dubois G., Cornford D., Hristopulos D., Pebesma E., Pilz J. Introduction to this special issue on geoinformatics for environmental surveillance. Computers & Geosciences 2011, 37:277-279.
15. Eisenman, S., Miluzzo, E., Lane, N., Peterson, R., Ahn, G., Campbell, A., 2007. The BikeNet mobile sensing system for cyclist experience mapping. In: Proceedings of the 5th Conference on Embedded Networked Sensor Systems, pp. 87-101.
16. Ekici E., Gu Y., Bozdag D. Mobility-based communication in wireless sensor networks. IEEE Communications Magazine 2006, 44:56-62.
17. Hefeeda M., Bagheri M. Forest fire modeling and early detection using wireless sensor networks. Ad Hoc & Sensor Wireless Networks 2008, 7:169-224.
18. Heuvelink G., Griffith D.A. Space-time geostatistics for geography: a case study of radiation monitoring across parts of Germany. Geographical Analysis 2010, 42:161-179.
19. Heuvelink G., Jiang Z., De Bruin S., Twenhöfel C. Optimization of mobile radioactivity monitoring networks. International Journal of Geographical Information Science 2010, 24:365-382.
20. Højsgaard, S., 2009. gRain; A Graphical Independence Networks package in R.
21. Horsburgh J.S., Spackman Jones A., Stevens D.K., Tarboton D.G., Mesner N.O. A sensor network for high frequency estimation of water quality constituent fluxes using surrogates. Environmental Modelling & Software 2010, 25:1031-1044.
22. Howard, A., Mataric, M.J., Sukhatme, G.S., 2002. Mobile sensor network deployment using potential fields: a distributed, scalable solution to the area coverage problem. In: Proceedings of the 6th International Symposium on Distributed Autonomous Robotics Systems (DARS02). Citeseer, pp. 299-308.
23. Howard R.A., Matheson J.E. Influence diagrams. Decision Analysis 2005, 2:127-143.
24. Jain S., Shah R., Brunette W., Borriello G., Roy S. Exploiting mobility for energy efficient data collection in wireless sensor networks. Mobile Networks and Applications 2006, 11:327-339.
25. Jensen F., Nielsen T. Bayesian Networks and Decision Graphs 2007, Springer, Berlin. 2nd edn.
26. Juang, P., Oki, H., Wang, Y., Martonosi, M., Peh, L., Rubenstein, D., 2002. Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with zebranet, SIGOPS operating systems review. In: Proceedings of the 10th annual conference on Architectural Support for Programming Languages and Operating Systems, pp. 96-107.
27. Jun J., Xie B., Agrawal D. Wireless mobile sensor networks: protocols and mobility strategies. Guide to Wireless Sensor Networks 2009, 611-638. Springer, London. S.C. Misra, I. Woungang, S. Misra, J.H. Jun, B. Xie, D.P. Agrawal (Eds.).
28. Kangas A. Value of forest information. European Journal of Forest Research 2010, 129:863-874.
29. Kho J., Rogers A., Jennings N.R. Decentralized control of adaptive sampling in wireless sensor networks. ACM Transactions on Sensor Networks (TOSN) 2009, 5:19.
30. Kjaerulff U.B., Madsen A.L. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis 2007, Springer Verlag.
31. Krause A., Singh A., Guestrin C. Near-optimal sensor placements in Gaussian processes: theory, efficient algorithms and empirical studies. Journal of Machine Learning Research 2008, 9:235-284.
32. Liu, B., Brass, P., Dousse, O., Nain, P., Towsley, D., 2005. Mobility improves coverage of sensor networks. In: Proceedings of the 6th international symposium on mobile ad hoc networking and computing, Urbana-Champaign, USA. pp. 300-308.
33. Melles S.J., Heuvelink G.B.M., Twenhöfel C.J.W., van Dijk A., Hiemstra P.H., Baume O., Stöhlker U. Optimizing the spatial pattern of networks for monitoring radioactive releases. Computers & Geosciences 2011, 37:280-288.
34. Milton R., Steed A. Mapping carbon monoxide using GPS tracked sensors. Environmental monitoring and Assessment 2007, 124:1-19.
35. Minasny B., McBratney A.B. A conditioned Latin hypercube method for sampling in the presence of ancillary information. Computers & Geosciences 2006, 32:1378-1388.
36. Minasny B., McBratney A.B., Walvoort D.J.J. The variance quadtree algorithm: use for spatial sampling design. Computers & Geosciences 2007, 33:383-392.
37. Nittel S. A survey of geosensor networks: advances in dynamic environmental monitoring. Sensors 2009, 9:5664-5678.
38. Pebesma E.J., Bivand R.S. Classes and methods for spatial data in R. R News 2005, 5:9-13.
39. Pebesma E.J., Wesseling C.G. Gstat: a program for geostatistical modelling, prediction and simulation. Computers & Geosciences 1998, 24:17-31.
40. Porter J., Nagy E., Kratz T., Hanson P., Collins S., Arzberger P. New eyes on the world: advanced sensors for ecology. BioScience 2009, 59:385-397.
41. R Development Core Team, 2010. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, http://www.R-project.org.
42. Rodriguez-Lado L., Hengl T., Reuter H.I. Heavy metals in European soils: a geostatistical analysis of the FOREGS geochemical database. Geoderma 2008, 148:189-199.
43. Romic M., Hengl T., Romic D., Husnjak S. Representing soil pollution by heavy metals using continuous limitation scores. Computers & Geosciences 2007, 33:1316-1326.
44. Rundel P.W., Graham E.A., Allen M.F., Fisher J.C., Harmon T.C. Environmental sensor networks in ecological research. New Phytologist 2009, 182:589-607.
45. Sahin Y. Animals as mobile biological sensors for forest fire detection. Sensors 2007, 7:3084-3099.
46. Singh, A., Budzik, D., Chen, W., Batalin, M., Kaiser, W., 2006. Multiscale sensing: a new paradigm for actuated sensing of high frequency dynamic phenomena. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, pp. 328-335.
47. Varis O. Bayesian decision analysis for environmental and resource management. Environmental Modelling & Software 1997, 12:177-185.
48. Verma A., Sawant H., Tan J. Selection and navigation of mobile sensor nodes using a sensor network. Pervasive and Mobile Computing 2006, 2:65-84.
49. Walkowski A.C. Model based optimization of mobile geosensor networks. The European Information Society 2008, 51-66. Springer, Berlin Heidelberg. L. Bernard, A. Friis-Christensen, H. Pundt (Eds.).
50. Walvoort D., Brus D., de Gruijter J. An R package for spatial coverage sampling and random sampling from compact geographical strata by k-means. Computers & Geosciences 2010, 36:1261-1267.
51. Wang B., Lim H., Ma D. A survey of movement strategies for improving network coverage in wireless sensor networks. Computer Communications 2009, 32:1427-1436.
52. Wang, Y.C., Peng, W.C., Tseng, Y.C., 2010. Energy-balanced dispatch of mobile sensors in a hybrid wireless sensor network. IEEE Transactions on Parallel and Distributed Systems.
53. Wang Y.C., Wu F.J., Tseng Y.C. Mobility management algorithms and applications for mobile sensor networks. Wireless Communications and Mobile Computing 2012, 12:7-21.
54. Willett R., Martin A., Nowak R. Backcasting: adaptive sampling for sensor networks. IEEE 2004, 124-133.
55. Younis M., Akkaya K. Strategies and techniques for node placement in wireless sensor networks: a survey. Ad Hoc Networks 2008, 6:621-655.
56. Zerger A., Viscarra Rossel R.A., Swain D.L., Wark T., Handcock R.N., Doerr V.A.J., Bishop-Hurley G.J., Doerr E.D., Gibbons P.G., Lobsey C. Environmental sensor networks for vegetation, animal and soil sciences. International Journal of Applied Earth Observation and Geoinformation 2010, 12:303-316.
57. Zou Y., Chakrabarty K. Distributed mobility management for target tracking in mobile sensor networks. IEEE Transactions on Mobile Computing 2007, 6:872-887.
58. Zoysa, K.D., Keppitiyagama, C., Seneviratne, G.P., Shihan, W.W., 2007. A public transport system based sensor network for road surface condition monitoring. In: Proceedings of the 2007 Workshop on Networked Systems for Developing Regions, Kyoto, Japan, p. 9.