Event-driven probabilistic topology management in sparse wireless sensor network

IET Wireless Sensor Systems

Volumn 5, Issue 4, 2015, Pages 210-217

  Das, Sankar Narayan ^a   Misra, Sudip ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION CONTROL EQUIPMENT; ENERGY EFFICIENCY; MONTE CARLO METHODS; PARAMETER ESTIMATION; TOPOLOGY;

COLLABORATION SCHEMES; EVENT LOCATION; EVENT MONITORING; EXTENSIVE SIMULATIONS; FACILITY LOCATIONS; NETWORK TOPOLOGY; SPARSE NETWORK; TOPOLOGY MANAGEMENT;

SENSOR NODES;

EID: 84938310344     PISSN: 20436386     EISSN: 20436394     Source Type: Journal    
DOI: 10.1049/iet-wss.2014.0099     Document Type: Article

References (30)

1. Li, Y., Jia, Z., Xie, S.: 'Energy-prediction scheduler for reconfigurable systems in energy-harvesting environment', IET Wirel. Sensor Syst., 2014, 4, (2), pp. 80-85
2. Kilinc, E.G., Conus, G., Weber, C., Kawkabani, B., Maloberti, F., Dehollain, C.: 'A system for wireless power transfer of micro-systems in-vivo implantable in freely moving animals', IEEE Sensors J., 2014, 14, (2), pp. 522-531
3. Ojha, T., Khatua, M., Misra, S.: 'Tic-tac-toe-arch: A self-organizing virtual architecture for underwater sensor networks', IET Wirel. Sensor Syst., 2013, 3,(4), pp. 307-316
4. Misra, S., Bera, S., Mondal, A.S., Tirkey, R., Han-Chieh, C., Chattopadhyay, S.: 'Optimal gateway selection in sensor-cloud framework for health monitoring', IET, 2014, 4, (2), pp. 61-68
5. Wang, Y., Cui, H., Guo, Q., Shu, M.: 'Obstacle-avoidance path planning of a mobile beacon for localisation', IET Wirel. Sensor Syst., 2013, 3, (2), pp. 126-137
6. Korbi, I.E., Zeadally, S.: 'Energy-aware sensor node relocation in mobile sensor networks', Ad Hoc Netw., 2014, 16, pp. 247-265
7. Vuran, M.C., Akyildiz, I.F.: 'Spatial correlation-based collaborative medium access control in wireless sensor networks', IEEE/ACM Trans. Netw., 2006, 14, (2), pp. 316-329
8. Zhang, X., Wang, H., Nat-Abdesselam, F., Khokhar, A.A.: 'Distortion analysis for real-time data collection of spatially temporally correlated data fields in wireless sensor networks', IEEE Trans. Veh. Technol., 2009, 58, (3), pp. 1583-1594
9. Shakya, R.K., Singh, Y.N., Verma, N.K.: 'Generic correlation model for wireless sensor network applications', IET Wirel. Sensor Syst., 2013, 3, (4), pp. 266-276
10. Tarantola, A.: 'Inverse problem theory and methods for model parameter estimation' (Society for Industrial and Applied Mathematics, Philadelphia, 2005)
11. MacKay, D.J.: 'Information theory, inference, and learning algorithms' (Cambridge University Press, 2005)
12. Shah, R.C., Roy, S., Jain, S., Brunette,W.: 'Data mules: Modeling and analysis of a three-tier architecture for sparse sensor networks' Ad Hoc Netw. 2003 1 pp. 215-233
13. Shah, K., Francesco, M.D., Kumar, G.A.M.: 'A framework for resource-aware data accumulation in sparse wireless sensor networks', Comput. Commun., 2011, 34, pp. 2094-2103
14. Borgia, E., Anastasi, G., Conti, M.: 'Energy efficient and reliable data delivery in urban sensing applications: A performance analysis', Comput. Netw., 2013, 57, pp. 3389-3409
15. Ammari, H.M.: 'Joint k-coverage and data gathering in sparsely deployed sensor networks impact of purposeful mobility and heterogeneity', ACM Trans. Sensor Netw., 2013, 10, (1)
16. Yang, Q., He, S., Li, J., Chen, J., Sun, Y.: 'Energy-efficient probabilistic area coverage in wireless sensor networks', IEEE Trans. Veh. Technol., 2015, 64, (1), pp. 367-377
17. Akbarzadeh, V., Gagne, C., Parizeau, M., Argany, M., Mostafavi, M.A.: 'Probabilistic sensing model for sensor placement optimization based on line-of-sight coverage', IEEE Trans. Instrum. Meas., 2013, 62, (2), pp. 293-303
18. Masazade, E., Niu, R., Varshney, P.K., Keskinoz, M.: 'Energy aware iterative source localization for wireless sensor networks', IEEE Trans. Signal Process., 2010, 58, (9), pp. 4824-4835
19. Baggio, A., Langendoen, K.: 'Monte carlo localization for mobile wireless sensor networks', Ad Hoc Netw., 2008, 6, pp. 718-733
20. Oh, S., Russel, S., Sastry, S.: 'Markov chain Monte Carlo data association for multi-target tracking', IEEE Trans. Autom. Control, 2009, 54, (3), pp. 481-497
21. Ranieri, J., Chebira, A., Vetterli, M.: 'Near-optimal sensor placement for linear inverse problems', IEEE Trans. Signal Process.s, 2014, 62, (5), pp. 1135-1146
22. Krause, A., Guestrain, C., Gupta, A., Kleinberg, J.: 'Robust sensor placements at informative and communication-efficient locations', ACM Trans. Sensor Netw., 2011, 7, (4), Article 31
23. Heinzelman,W.B., Chandrakasan, A.P., Balakrishnan, H.: 'An application-specific protocol architecture for wireless microsensor networks', IEEE Trans. Wirel. Commun., 2002, 1, (4), pp. 660-670
24. Shi, Y., Hou, Y.T.: 'Optimal base station placement in wireless sensor networks', ACM Trans. Sensor Netw., 2009, 5, (4)
25. Chawla, S.: 'Randomized algorithms: Chernoff bounds'. Available at http://www.cs.cmu.edu/afs/cs/academic/class/15859-f04/www/scribes/lec9.pdf, accessed May 2014
26. Drezner, Z., Hamacher, H.W. (Eds.): 'Facility location: applications and theory' (Springer-Verlag, Berlin, 2004)
27. Ns2: www.isi.edu/nsnam/ns/, accessed June 2014
28. Mannasim patch: http://www.mannasim.dcc.ufmg.br, accessed June 2014. http://www.mannasim.dcc.ufmg.br, accessed June 2013
29. Russell, S., Norvig, P.: 'Artificial intelligence: a modern approach' (Prentice-Hall, Englewood Cliffs, NJ, 2003, 2nd edn.)
30. Weiss, N.A.: 'Introductory statistics' (Pearson Education, 2012, 9th edn.)