Service-oriented node scheduling scheme for wireless sensor networks using markov random field model

Sensors (Switzerland)

Volumn 14, Issue 11, 2014, Pages 20940-20962

  Cheng, Hongju ^a,b   Su, Zhihuang ^a   Lloret, Jaime ^c   Chen, Guolong ^a  

^a FUZHOU UNIVERSITY   (China)

^b University of Alabama   (United States)

^c UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Energy efficiency; Markov Random Field; Multi service; Node scheduling; Service oriented; Wireless sensor networks

Indexed keywords

WIRELESS SENSOR NETWORKS;

MARKOV RANDOM FIELD MODEL; MARKOV RANDOM FIELDS; MULTI-SERVICES; NODE SCHEDULING; SERVICE ORIENTED;

ENERGY EFFICIENCY;

EID: 84908610822     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s141120940     Document Type: Article

References (31)

1. Yick, J.; Mukherjee, B.; Ghosal, D. Wireless sensor network survey. Comput. Netw. 2008, 52, 2292–2330.
2. Gracanin, D.; Eltoweissy, M.; Wadaa, A.; DaSilva, L.A. A service-centric model for wireless sensor networks. IEEE J. Sel. Areas Commun. 2005, 23, 1159–1165.
3. Rezgui, A.; Eltoweissy, M. Service-oriented sensor-actuator networks: Promises, challenges, and the road ahead. Comput. Commun. 2007, 30, 2627–2648.
4. Mohamed, N.; Al-Jaroodi, J. A survey on service-oriented middleware for wireless sensor networks. Ser. Orient. Comput. Appl. 2011, 5, 71–85.
5. Avilés-López, E.; García-Macías, J.A. TinySOA: A service-oriented architecture for wireless sensor networks. Ser. Orient. Comput. Appl. 2009, 3, 99–108.
6. Zhang, J.; Iannucci, B.; Hennessy, M.; Gopal K.; Sean, X.; Kumar, S.; Pfeffer, D.; Aljedia, B.; Ren, Y.; Griss, M. et al. Sensor Data as a Service—A Federated Platform for Mobile Data-Centric Service Development and Sharing. In Proceedings of the IEEE International Conference on Services Computing (SCC’13), Santa Clara, CA, USA, 28 June–3 July 2013.
7. Geyik, S.C.; Szymanski, B.K.; Zerfos, P.; Verma, D. Dynamic composition of services in sensor networks. In Proceedings of the 7th IEEE International Conference on Services Computing (SCC’10), Miami, FL, USA, 5–10 July 2010.
8. Wang, J.; Li, D.; Xing, G.; Du, H. Cross-layer sleep scheduling design in service-oriented wireless sensor networks. IEEE Trans. Mob. Comput. 2010, 9, 1622–1633.
9. Cheng, H.; Guo, R.; Chen, Y. Node selection algorithms with data accuracy guarantee in service-oriented wireless sensor networks. Int. J. Distrib. Sens. Netw. 2013, doi:10.1155/2013/527965.
10. Anastasi, G.; Conti, M.; Di Francesco, M.; Passarella, A. Energy conservation in wireless sensor networks: A survey. Ad Hoc Netw. 2009, 7, 537–568.
11. Zhao, Y.; Wu, J.; Li, F.; Lu, S. On maximizing the lifetime of wireless sensor networks using virtual backbone scheduling. IEEE Trans. Paral. Distrib. Syst. 2012, 23, 1528–1535.
12. Lin, J.; Xiao, W.; F. Lewis, L.; Xie, L. Energy-efficient distributed adaptive multisensor scheduling for target tracking in wireless sensor networks. IEEE Trans. Inst. Meas. 2009, 58, 1886–1896.
13. Zorbas, D.; Glynos, D.; Kotzanikolaou, P.; Douligeris, C. Solving coverage problems in wireless sensor networks using cover sets. Ad Hoc Netw. 2010, 8, 400–415.
14. Kotidis, Y. Snapshot queries: Towards data-centric sensor networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, 5–8 April 2005.
15. Hung, C.; Peng, W.; Lee, W. Energy-aware set-covering approaches for approximate data collection in wireless sensor networks. IEEE Trans. Knowl. Data Eng. 2012, 24, 1993–2007.
16. Cheng, H.; Guo, R.; Su, Z.; Xiong, N.; Guo, W. Service-oriented node scheduling schemes with energy efficiency in wireless sensor networks. Int. J. Distrib. Sens. Netw. 2014, 2014, doi:10.1155/2014/247173.
17. Liu, C.; Wu, K.; Pei, J. An energy-efficient data collection framework for wireless sensor networks by exploiting spatiotemporal correlation. IEEE Trans. Paral. Distrib. Syst. 2007, 18, 1010–1023.
18. Deshpande, A.; Guestrin, C.; Madden, S.R.; Hellerstein, J.M.; Hong, W. Model-driven data acquisition in sensor networks. In Proceedings of the Thirtieth International Conference on Very Large Data Bases-Volume 30, Toronto, ON, Canada, 31 August–3 September 2004.
19. Vuran, M.C.; Akan, Ö.B.; Akyildiz, I.F. Spatio-temporal correlation: Theory and applications for wireless sensor networks. Comput. Netw. 2004, 45, 245–259.
20. Vuran, M.C.; Akyildiz, I.F. Spatial correlation-based collaborative medium access control in wireless sensor networks. IEEE/ACM Trans. Netw. 2006, 14, 316–329.
21. Soua, R.; Minet, P. A survey on energy efficient techniques in wireless sensor networks. In Processing of the 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC), Toulouse, France, 26–28 October 2011.
22. Weng, H.C.; Chen, Y.H.; Wu, E.H.K.; Chen, G.H. Correlated data gathering with double trees in wireless sensor networks. IEEE Sens. J. 2012, 12, 1147–1156.
23. Min, J.K.; Chung, C.W. EDGES: Efficient data gathering in sensor networks using temporal and spatial correlations. J. Syst. Softw. 2010, 83, 271–282.
24. Perreau, S.; Sigelle, M.; Silva, P.D.; Jayasuriya, A. Sensor networks protocol design using random Markov Field theory. In Processing of the 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, Rome, Italy, 1–8 June 2009.
25. Wang, T.; Yu, C. Collaborative event region detection in wireless sensor networks using markov random fields. In Proceedings of the 2nd International Symposium on Wireless Communication Systems, Siena, Italy, 7 September 2005.
26. Oka, A.; Lampe, L. Incremental distributed identification of Markov random field models in wireless sensor networks. IEEE Trans. Sign. Process. 2009, 57, 2396–2405.
27. Li, S.Z. Markov Random Field Modeling in Image Analysis; Springer: London, UK, 2009.
28. Xua, Y.; Choi, J. Spatial prediction with mobile sensor networks using gaussian processes with built-in gaussian markov random fields. Automat 2012, 48, 1735–1740.
29. Aziz, A.A.; Sekercioglu, Y.A.; Fitzpatrick, P.; Ivanovich, M. A survey on distributed topology control techniques for extending the lifetime of battery powered wireless sensor networks. IEEE Commun. Surv. Tutor. 2013, 15, 121–144.
30. Yao, Y.; Cao, Q.; Vasilakos, A.V. Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. In Proceedings of the 2013 IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS), Hangzhou, China, 14–16 October 2013.
31. Han, K.; Luo, J.; Liu, Y.; Vasilakos, A.V. EDAL: An Energy-Efficient, Delay-Aware, and Lifetime-Balancing Data Collection Protocol for Wireless Sensor Networks. IEEE Commun. Mag. 2013, 51, 107–113.