Wireless visual sensor networks for smart city applications:A relevance-based approach for multiple sinks mobility

Future Generation Computer Systems

Volumn 76, Issue , 2017, Pages 51-62

  Peixoto, João Paulo Just ^a   Costa, Daniel G ^a  

^a DEPARTAMENTO DE CIÊNCIAS BIOLÓGICAS   (Brazil)

Author keywords

Multiple sinks; Sink positioning; Smart cities; Wireless visual sensor networks

Indexed keywords

ENERGY UTILIZATION; SENSOR NETWORKS; WIRELESS SENSOR NETWORKS;

LIFE QUALITIES; MAJOR CITIES; MULTIPLE MOBILE SINKS; MULTIPLE SINKS; REDUCED ENERGY; SINK POSITIONING; SOURCE NODES; WIRELESS VISUAL SENSOR NETWORKS;

SMART CITY;

EID: 85020258470     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2017.05.027     Document Type: Article

References (34)

1. I. Stoianov, L. Nachman, S. Madden, T. Tokmouline, M. Csail, PipeNet: A wireless sensor network for pipeline monitoring Information, in: Processing in Sensor Networks, 2007, IPSN 2007, 6th International Symposium on, 2007, pp. 264–273.
2. Gungor, V., Lu, B., Hancke, G., Opportunities and challenges of wireless sensor networks in smart grid. IEEE Trans. Ind. Electron. 57:10 (2010), 3557–3564.
3. Hancke, G.P., Silva, B.d.C.e., Hancke, Jr., G.P., The role of advanced sensing in smart cities. Sensors, 13(1), 2012, 393.
4. Costa, D.G., Guedes, L.A., Vasques, F., Portugal, P., Adaptive monitoring relevance in camera networks for critical surveillance applications. IJDSN, 2013, 2013, 15.
5. Chen, W.-T., Chen, P.-Y., Lee, W.-S., fu Huang, C., Design and implementation of a real time video surveillance system with wireless sensor networks. Vehicular Technology Conference, 2008, VTC Spring 2008, 2008, IEEE, 218–222.
6. Vlacheas, P., Giaffreda, R., Stavroulaki, V., Kelaidonis, D., Foteinos, V., Poulios, G., Demestichas, P., Somov, A., Biswas, A., Moessner, K., Enabling smart cities through a cognitive management framework for the Internet of Things. IEEE Commun. Mag. 51:6 (2013), 102–111.
7. Das, A., Dutta, D., Data acquisition in multiple-sink sensor networks. Mob. Comput. Commun. Rev. 9:3 (2005), 82–85.
8. C. Kruger, G. Hancke, D. Bhatt, Wireless sensor network for building evacuation, in: Instrumentation and Measurement Technology Conference, I2MTC, 2012 IEEE International, 2012, pp. 2572–2577.
9. S. Kim, S. Pakzad, D. Culler, J. Demmel, G. Fenves, S. Glaser, M. Turon, Health monitoring of civil infrastructures using wireless sensor networks, in: Information Processing in Sensor Networks, 2007, IPSN 2007, 6th International Symposium on, 2007, pp. 254–263.
10. H. Myung, S. Lee, B.-J. Lee, Structural health monitoring robot using paired structured light, in: Industrial Electronics, 2009, ISIE 2009, IEEE International Symposium on, 2009, pp. 396–401.
11. Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M., Internet of Things for smart cities. IEEE Internet of Things J. 1:1 (2014), 22–32.
12. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M., Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29:7 (2013), 1645–1660 Including Special sections: Cyber-enabled Distributed Computing for Ubiquitous Cloud and Network Services & Cloud Computing and Scientific Applications Big Data, Scalable Analytics, and Beyond.
13. Botta, A., de Donato, W., Persico, V., Pescapé, A., Integration of cloud computing and Internet of Things: A survey. Future Gener. Comput. Syst. 56 (2016), 684–700.
14. Koç, M., Korpeoglu, I., Controlled sink mobility algorithms for wireless sensor networks. Int. J. Distrib. Sens. Netw., 2014, 2014, 12.
15. K. Mahendrababu, K.L. Joshitha, A solution to energy hole problem in wireless sensor networks using witricity, in: International Conference on Information Communication and Embedded Systems, ICICES2014, 2014, pp. 1–6.
16. S. Gao, H. Zhang, S. Das, Efficient data collection in wireless sensor networks with path-constrained mobile sinks, in: World of Wireless, Mobile and Multimedia Networks Workshops, 2009, WoWMoM 2009, IEEE International Symposium on a, 2009, pp. 1–9.
17. Gao, S., Zhang, H., Energy efficient path-constrained sink navigation in delay-guaranteed wireless sensor networks. J. Netw., 5(6), 2010, 8.
18. Friedmann, L., Boukhatem, L., Efficient multi-sink relocation in wireless sensor network. ICNS, 2007, IEEE Computer Society, 90.
19. Lee, J.-H., Jung, I.-B., Adaptive-compression based congestion control technique for wireless sensor networks. Sensors 10:4 (2010), 2919–2945.
20. Costa, D.G., Guedes, L.A., Vasques, F., Portugal, P., Valle, O.T., A semi-reliable energy-efficient retransmission mechanism based on the sensing relevancies of source nodes for wireless image sensor networks. ISWCS, 2012, IEEE, 506–510.
21. D.G. Costa, L.A. Guedes, F. Vasques, P. Portugal, Relevance-based balanced sink mobility in wireless visual sensor networks, INDIN, 2014, p. 6.
22. Costa, D.G., Guedes, L.A., Exploiting the sensing relevancies of source nodes for optimizations in visual sensor networks. Multimedia Tools Appl. 64:3 (2013), 549–579.
23. J.P.J. Peixoto, D.G. Costa, QoE-aware multiple sinks mobility in wireless sensor networks, in: 7th International Conference on New Technologies, Mobility and Security, NTMS, 2015, pp. 1–4.
24. Almalkawi, I.T., Guerrero Zapata, M., Al-Karaki, J.N., Morillo-Pozo, J., Wireless multimedia sensor networks: Current trends and future directions. Sensors 10:7 (2010), 6662–6717.
25. Costa, D.G., Guedes, L.A., A survey on multimedia-based cross-layer optimization in visual sensor networks. Sensors 11:5 (2011), 5439–5468.
26. D. Costa, L. Guedes, F. Vasques, P. Portugal, Effect of frame size on energy consumption in wireless image sensor networks, in: Imaging Systems and Techniques, IST, 2012 IEEE International Conference on, 2012, pp. 239–244.
27. Costa, D.G., Guedes, L.A., Vasques, F., Portugal, P., Energy-efficient packet relaying in wireless image sensor networks exploiting the sensing relevancies of source nodes and dwt coding. J. Sensor Actuator Netw. 2:3 (2013), 424–448.
28. Costa, D.G., Guedes, L.A., Vasques, F., Portugal, P., Research trends in wireless visual sensor networks when exploiting prioritization. Sensors 15:1 (2015), 1760–1784.
29. Dijkstra, E.W., A note on two problems in connexion with graphs. Numer. Math. 1:1 (1959), 269–271.
30. Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D., Sensing as a service model for smart cities supported by Internet of Things. Trans. Emerg. Telecommun. Technol. 25:1 (2014), 81–93.
31. Caragliu, A., Del Bo, C., Nijkamp, P., Smart cities in europe. J. Urban Technol. 18:2 (2011), 65–82.
32. Atzori, L., Iera, A., Morabito, G., Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigm. Ad Hoc Netw. 1570-8705, 56, 2017, 122–140.
33. Saleem, Y., Salim, F., Rehmani, M.H., Resource management in mobile sink based wireless sensor networks through cloud computing. Resource Management in Mobile Computing Environments, 2014, Springer International Publishing, Cham 978-3-319-06704-9, 439–459.
34. Bonomi, F., Milito, R., Zhu, J., Addepalli, S., Fog computing and its role in the Internet of Things. Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing MCC'12, 2012, ACM, New York, NY, USA, 13–16.