http://iet.metastore.ingenta.com
1887

access icon free Design and experimental implementation of monitoring system in wireless sensor networks

  • XML
    96.0703125Kb
  • HTML
    93.4697265625Kb
  • PDF
    4.955120086669922MB
Loading full text...

Full text loading...

/deliver/fulltext/iet-wss/8/6/IET-WSS.2018.5030.html;jsessionid=6j98vd7o4o34e.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fiet-wss.2018.5030&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. Khelifi, F., Bradai, A., Kaddachi, M.L., et al: ‘A novel intelligent mechanism for monitoring in wireless sensor networks’. 2017 IEEE Int. Conf. on Consumer Electronics (ICCE), January 2017, pp. 170171.
    2. 2)
      • 2. Ekwevugbe, T., Brown, N., Pakka, V., et al: ‘Improved occupancy monitoring in non-domestic buildings’, Sustain. Cities Soc., 2017, 30, pp. 97107.
    3. 3)
      • 3. Han, D.M., Lim, J.H.: ‘Design and implementation of smart home energy management systems based on zigbee’, IEEE Trans. Consum. Electron., 2010, 56, (3), pp. 14171425.
    4. 4)
      • 4. Bradai, A., Singh, K., Rachedi, A., et al: ‘EMCOS: energy-efficient mechanism for multimedia streaming over cognitive radio sensor networks’, Pervasive Mob. Comput., 2015, 22, pp. 1632.
    5. 5)
      • 5. Benslimane, A., Saad, C., Konig, J.C., et al: ‘Cooperative localization techniques for wireless sensor networks: free, signal and angle based techniques’, Wirel. Commun. Mob. Comput., 2014, 14, (17), pp. 16271646.
    6. 6)
      • 6. Han, D.M., Lim, J.H.: ‘Smart home energy management system using IEEE 802.15. 4 and zigbee’, IEEE Trans. Consum. Electron., 2010, 56, (3), pp. 14031410.
    7. 7)
      • 7. Byun, J., Jeon, B., Noh, J., et al: ‘An intelligent self-adjusting sensor for smart home services based on ZigBee communications’, IEEE Trans. Consum. Electron., 2012, 58, (3), pp. 794802.
    8. 8)
      • 8. Mokhtari, G., Zhang, Q., Nourbakhsh, G., et al: ‘BLUESOUND: a new resident identification sensor – using ultrasound array and BLE technology for smart home platform’, IEEE Sens. J., 2017, 17, (5), pp. 15031512.
    9. 9)
      • 9. Khelifi, F., Kaddachi, M.L., Bouallegue, B., et al: ‘Fuzzy logic-based hardware architecture for event detection in wireless sensor networks’. 2014 World Symp. on Computer Applications & Research (WSCAR), January 2014, pp. 14.
    10. 10)
      • 10. Mrazovac, B., Bjelica, M.Z., Kukolj, D., et al: ‘A human detection method for residential smart energy systems based on ZigBee RSSI changes’. 2012 IEEE Int. Conf. on Consumer Electronics (ICCE), Las Vegas, USA, January 2012.
    11. 11)
      • 11. Khaleghi, B., Khamis, A., Karray, F.O., et al: ‘Multisensor data fusion: a review of the state-of-the-art’, Inf. Fusion, 2013, 14, (1), pp. 2844.
    12. 12)
      • 12. Manjunatha, P., Verma, A.K., Srividya, A.: ‘Multi-sensor data fusion in cluster based wireless sensor networks using fuzzy logic method’. IEEE Region 10 and the Third Int. Conf. on Industrial and Information Systems, 2008. ICIIS 2008, December 2008, pp. 16.
    13. 13)
      • 13. Hao, Z., Zhang, Z., Chao, H.C.: ‘A cluster-based fuzzy fusion algorithm for event detection in heterogeneous wireless sensor networks’, J. Sens., 2015, 2015, Article ID 641235.
    14. 14)
      • 14. Fang, Q., Zhao, F., Guibas, L.: ‘Lightweight sensing and communication protocols for target enumeration and aggregation’. Proc. of the 4th ACM Int. Symp. on Mobile Ad hoc Networking & Computing, June 2003, pp. 165176.
    15. 15)
      • 15. Collotta, M., Bello, L.L., Pau, G.: ‘A novel approach for dynamic traffic lights management based on wireless sensor networks and multiple fuzzy logic controllers’, Expert Syst. Appl., 2015, 42, (13), pp. 54035415.
    16. 16)
      • 16. Ahmed, H.O., Elkhatib, M.M., Adly, I., et al: ‘Design and implementation of fuzzy event-detection algorithm for border monitoring on FPGA’, Int. J. Fuzzy Syst., 2016, 18, (6), pp. 10541064.
    17. 17)
      • 17. Chang, W.R., Lin, H.T., Cheng, Z.Z.: ‘CODA: a continuous object detection and tracking algorithm for wireless ad hoc sensor networks’. 5th IEEE Consumer Communications and Networking Conf., 2008. CCNC 2008, January 2008, pp. 168174.
    18. 18)
      • 18. Thuc, K.X., Insoo, K.: ‘A collaborative event detection scheme using fuzzy logic in clustered wireless sensor networks’, AEU-Int. J. Electron. Commun., 2011, 65, (5), pp. 485488.
    19. 19)
      • 19. Kapitanova, K., Son, S.H., Kang, K.D.: ‘Using fuzzy logic for robust event detection in wireless sensor networks’, Ad Hoc Netw., 2012, 10, (4), pp. 709722.
    20. 20)
      • 20. Zadeh, L.A.: ‘Fuzzy sets’, Inf. Control, 1965, 8, (3), pp. 338353.
    21. 21)
      • 21. Zhang, W., Cao, G.: ‘DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks’, IEEE Trans. Wirel. Commun., 2004, 3, (5), pp. 16891701.
    22. 22)
      • 22. Noury, N., Hervé, T., Rialle, V., et al: ‘Monitoring behavior in home using a smart fall sensor and position sensors’. 1st Annual Int., Conf. On Microtechnologies in Medicine and Biology, 2000, pp. 607610.
    23. 23)
      • 23. Fleury, A., Vacher, M., Glasson, H., et al: ‘Data fusion in health smart home: preliminary individual evaluation of two families of sensors’. ISG'08, June 2008, p. 135.
    24. 24)
      • 24. Tahir, M., Hung, P., Farrell, R., et al: ‘Lightweight signal processing algorithms for human activity monitoring using dual PIR-sensor nodes’, 2009.
    25. 25)
      • 25. Luo, R.C., Chen, O.: ‘Wireless and pyroelectric sensory fusion system for indoor human/robot localization and monitoring’, IEEE/ASME Trans. Mechatronics, 2013, 18, (3), pp. 845853.
    26. 26)
      • 26. Jia, B., Xin, M.: ‘High-degree cubature joint probabilistic data association information filter for multiple sensor multiple target tracking’. 2014 IEEE 53rd Annual Conf. on Decision and Control (CDC), December 2014, pp. 304309.
    27. 27)
      • 27. Kamal, A.T., Farrell, J.A., Roy-Chowdhury, A.K.: ‘Information consensus for distributed multi-target tracking’. Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 2013, pp. 24032410.
    28. 28)
      • 28. Hao, Q., Brady, D.J., Guenther, B.D., et al: ‘Human tracking with wireless distributed pyroelectric sensors’, IEEE Sens. J., 2006, 6, (6), pp. 16831696.
    29. 29)
      • 29. Hao, Q., Hu, F., Xiao, Y.: ‘Multiple human tracking and identification with wireless distributed pyroelectric sensor systems’, IEEE Syst. J., 2009, 3, (4), pp. 428439.
    30. 30)
      • 30. Conde, M.E., Cruz, S., Muñoz, D.M., et al: ‘An efficient data fusion architecture for infrared and ultrasonic sensors, using FPGA’. 2013 IEEE Fourth Latin American Symp. on Circuits and Systems (LASCAS), February 2013, pp. 14.
    31. 31)
      • 31. Barsocchi, P., Lenzi, S., Chessa, S., et al: ‘Virtual calibration for RSSI-based indoor localization with IEEE 802.15.4’. IEEE Int. Conf. on Communications, 2009. ICC ‘09, 2009, pp. 15.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-wss.2018.5030
Loading

Related content

content/journals/10.1049/iet-wss.2018.5030
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address