Skip to main content
Erschienen in: Wireless Networks 8/2018

24.04.2017

CRWSNP: cooperative range-free wireless sensor network positioning algorithm

verfasst von: Fatemeh Darakeh, Gholam-Reza Mohammad-Khani, Paeiz Azmi

Erschienen in: Wireless Networks | Ausgabe 8/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Sensing events occur in an area without knowing the events locations, is meaningless. Since there is no priorly knowledge about the locations of most of the sensors which scattered randomly in an area, wireless sensor network localization methods try to find out where sensors are located. A new cooperative and distributed range-free localization algorithm, based on only connectivity information is proposed in this paper. The method first uses convex optimization techniques to find primitive target nodes locations estimation, then nodes cooperate with each other in several iterations to improve the whole network location estimation. CRWSNP converges after a finite number of iterations because of applying two novel heuristic location correction techniques. As well as, results of the algorithm have been compared with six range-free based methods like CPE, DV-hop, APIT; and CRWSNP algorithm provides more accurate results over 50 random topologies for the network, in mean error and maximum error metrics.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Kumaresan, R., & Tufts, D. W. (1983). Estimating the angles of arrival of multiple plane waves. IEEE Transactions on Aerospace and Electronic Systems, 1, 134–139.CrossRef Kumaresan, R., & Tufts, D. W. (1983). Estimating the angles of arrival of multiple plane waves. IEEE Transactions on Aerospace and Electronic Systems, 1, 134–139.CrossRef
2.
Zurück zum Zitat Agee, B. G. (1991). The copy/DF approach to signal-specific emitter location. In 1991 conference record of the twenty-fifth Asilomar conference on signals, systems and computers (pp. 994–999). IEEE. Agee, B. G. (1991). The copy/DF approach to signal-specific emitter location. In 1991 conference record of the twenty-fifth Asilomar conference on signals, systems and computers (pp. 994–999). IEEE.
3.
Zurück zum Zitat Bliss, D. W., & Forsythe, K. W. (2000). Angle of arrival estimation in the presence of multiple access interference for CDMA cellular phone systems. In Sensor array and multichannel signal processing workshop. Proceedings of the 2000 IEEE (pp. 408–412). IEEE. Bliss, D. W., & Forsythe, K. W. (2000). Angle of arrival estimation in the presence of multiple access interference for CDMA cellular phone systems. In Sensor array and multichannel signal processing workshop. Proceedings of the 2000 IEEE (pp. 408–412). IEEE.
4.
Zurück zum Zitat Klukas, R., & Fattouche, M. (1998). Line-of-sight angle of arrival estimation in the outdoor multipath environment. IEEE Transactions on Vehicular Technology, 47(1), 342–351.CrossRef Klukas, R., & Fattouche, M. (1998). Line-of-sight angle of arrival estimation in the outdoor multipath environment. IEEE Transactions on Vehicular Technology, 47(1), 342–351.CrossRef
5.
Zurück zum Zitat Li, J., Halder, B., Stoica, P., & Viberg, M. (1995). Computationally efficient angle estimation for signals with known waveforms. IEEE Transactions on Signal Processing, 43(9), 2154–2163.CrossRef Li, J., Halder, B., Stoica, P., & Viberg, M. (1995). Computationally efficient angle estimation for signals with known waveforms. IEEE Transactions on Signal Processing, 43(9), 2154–2163.CrossRef
6.
Zurück zum Zitat Pierre, J., & Kaveh, M. (1995). Experimental evaluation of high-resolution direction-finding algorithms using a calibrated sensor array testbed. Digital Signal Processing, 5(4), 243–254.CrossRef Pierre, J., & Kaveh, M. (1995). Experimental evaluation of high-resolution direction-finding algorithms using a calibrated sensor array testbed. Digital Signal Processing, 5(4), 243–254.CrossRef
7.
Zurück zum Zitat Roy, R., & Kailath, T. (1989). ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Transactions on Acoustics, Speech and Signal Processing, 37(7), 984–995.CrossRef Roy, R., & Kailath, T. (1989). ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Transactions on Acoustics, Speech and Signal Processing, 37(7), 984–995.CrossRef
8.
Zurück zum Zitat Schmidt, R. O. (1986). Multiple emitter location and signal parameter estimation. IEEE Transactions on Antennas and Propagation, 34(3), 276–280.CrossRef Schmidt, R. O. (1986). Multiple emitter location and signal parameter estimation. IEEE Transactions on Antennas and Propagation, 34(3), 276–280.CrossRef
9.
Zurück zum Zitat Ziskind, I., & Wax, M. (1988). Maximum likelihood localization of multiple sources by alternating projection. IEEE Transactions on Acoustics, Speech and Signal Processing, 36(10), 1553–1560.CrossRef Ziskind, I., & Wax, M. (1988). Maximum likelihood localization of multiple sources by alternating projection. IEEE Transactions on Acoustics, Speech and Signal Processing, 36(10), 1553–1560.CrossRef
10.
Zurück zum Zitat Al-Jazzar, S., Caffery, J., & You, H.-R. (2002). A scattering model based approach to NLOS mitigation in TOA location systems. In IEEE 55th vehicular technology conference. VTC Spring 2002 (Vol. 2, pp. 861–865). IEEE. Al-Jazzar, S., Caffery, J., & You, H.-R. (2002). A scattering model based approach to NLOS mitigation in TOA location systems. In IEEE 55th vehicular technology conference. VTC Spring 2002 (Vol. 2, pp. 861–865). IEEE.
11.
Zurück zum Zitat Wang, X., Wang, Z., & O’Dea, B. (2003). A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation. IEEE Transactions on Vehicular Technology, 52(1), 112–116.CrossRef Wang, X., Wang, Z., & O’Dea, B. (2003). A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation. IEEE Transactions on Vehicular Technology, 52(1), 112–116.CrossRef
12.
Zurück zum Zitat Wylie, M. P., & Holtzman, J. (1996). The non-line of sight problem in mobile location estimation. In 1996 5th IEEE International Conference on Universal Personal Communications. Record (Vol. 2, pp. 827–831). IEEE. Wylie, M. P., & Holtzman, J. (1996). The non-line of sight problem in mobile location estimation. In 1996 5th IEEE International Conference on Universal Personal Communications. Record (Vol. 2, pp. 827–831). IEEE.
13.
Zurück zum Zitat Venkatraman, S., Caffery, J., & You, H.-R. (2004). A novel TOA location algorithm using LOS range estimation for NLOS environments. IEEE Transactions on Vehicular Technology, 53(5), 1515–1524.CrossRef Venkatraman, S., Caffery, J., & You, H.-R. (2004). A novel TOA location algorithm using LOS range estimation for NLOS environments. IEEE Transactions on Vehicular Technology, 53(5), 1515–1524.CrossRef
14.
Zurück zum Zitat Chan, E. C., Baciu, G., & Mak, S. (2009). Using Wi-Fi signal strength to localize in wireless sensor networks. In WRI international conference on communications and mobile computing. CMC’09 (Vol. 1, pp. 538–542). IEEE. Chan, E. C., Baciu, G., & Mak, S. (2009). Using Wi-Fi signal strength to localize in wireless sensor networks. In WRI international conference on communications and mobile computing. CMC’09 (Vol. 1, pp. 538–542). IEEE.
15.
Zurück zum Zitat Kang, J., Kim, D., & Kim, Y. (2007). RSS self-calibration protocol for WSN localization. In Wireless pervasive computing. Kang, J., Kim, D., & Kim, Y. (2007). RSS self-calibration protocol for WSN localization. In Wireless pervasive computing.
16.
Zurück zum Zitat Kumar, P., Reddy, L., & Varma, S. (2009). Distance measurement and error estimation scheme for RSSI based localization in wireless sensor networks. In 2009 fifth IEEE conference on wireless communication and sensor networks (WCSN) (pp. 1–4). IEEE. Kumar, P., Reddy, L., & Varma, S. (2009). Distance measurement and error estimation scheme for RSSI based localization in wireless sensor networks. In 2009 fifth IEEE conference on wireless communication and sensor networks (WCSN) (pp. 1–4). IEEE.
17.
Zurück zum Zitat Morelli, C., Nicoli, M., Rampa, V., Spagnolini, U., & Alippi, C. (2006). Particle filters for RSS-based localization in wireless sensor networks: An experimental study. In 2006 IEEE international conference on acoustics, speech and signal processing. ICASSP 2006 Proceedings (Vol. 4, pp. IV–IV). IEEE. Morelli, C., Nicoli, M., Rampa, V., Spagnolini, U., & Alippi, C. (2006). Particle filters for RSS-based localization in wireless sensor networks: An experimental study. In 2006 IEEE international conference on acoustics, speech and signal processing. ICASSP 2006 Proceedings (Vol. 4, pp. IV–IV). IEEE.
18.
Zurück zum Zitat Vaghefi, R. M., Gholami, M. R., & Strom, E. G. (2011). RSS-based sensor localization with unknown transmit power. In 2011 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 2480–2483). IEEE. Vaghefi, R. M., Gholami, M. R., & Strom, E. G. (2011). RSS-based sensor localization with unknown transmit power. In 2011 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 2480–2483). IEEE.
19.
Zurück zum Zitat Wu, D., Liu, Q., Li, Y., McCann, J. A., Regan, A. C., & Venkatasubramanian, N. (2016). Adaptive lookup of open WiFi using crowdsensing. IEEE/ACM Transactions on Networking, PP(99), 1–14. doi:10.1109/tnet.2016.2533399.CrossRef Wu, D., Liu, Q., Li, Y., McCann, J. A., Regan, A. C., & Venkatasubramanian, N. (2016). Adaptive lookup of open WiFi using crowdsensing. IEEE/ACM Transactions on Networking, PP(99), 1–14. doi:10.​1109/​tnet.​2016.​2533399.CrossRef
20.
Zurück zum Zitat Fu, Y., Liu, H., Qin, J., & Xing, T. (2006). The localization of wireless sensor network nodes based on DSSS. In 2006 IEEE international conference on electro/information technology (pp. 465–469). IEEE. Fu, Y., Liu, H., Qin, J., & Xing, T. (2006). The localization of wireless sensor network nodes based on DSSS. In 2006 IEEE international conference on electro/information technology (pp. 465–469). IEEE.
21.
Zurück zum Zitat Priyantha, N. B., Miu, A. K., Balakrishnan, H., & Teller, S. (2001). The cricket compass for context-aware mobile applications. In Proceedings of the 7th annual international conference on mobile computing and networking (pp. 1–14). ACM. Priyantha, N. B., Miu, A. K., Balakrishnan, H., & Teller, S. (2001). The cricket compass for context-aware mobile applications. In Proceedings of the 7th annual international conference on mobile computing and networking (pp. 1–14). ACM.
22.
Zurück zum Zitat Shih, C.-Y., & Marrón, P. J. (2010). COLA: Complexity-reduced trilateration approach for 3D localization in wireless sensor networks. In 2010 fourth international conference on sensor technologies and applications (SENSORCOMM) (pp. 24–32). IEEE. Shih, C.-Y., & Marrón, P. J. (2010). COLA: Complexity-reduced trilateration approach for 3D localization in wireless sensor networks. In 2010 fourth international conference on sensor technologies and applications (SENSORCOMM) (pp. 24–32). IEEE.
23.
Zurück zum Zitat Yang, Z., & Liu, Y. (2010). Quality of trilateration: Confidence-based iterative localization. IEEE Transactions on Parallel and Distributed Systems, 21(5), 631–640.CrossRef Yang, Z., & Liu, Y. (2010). Quality of trilateration: Confidence-based iterative localization. IEEE Transactions on Parallel and Distributed Systems, 21(5), 631–640.CrossRef
24.
Zurück zum Zitat Singh, S. P., & Sharma, S. (2015). Range free localization techniques in wireless sensor networks: A review. Procedia Computer Science, 57, 7–16.CrossRef Singh, S. P., & Sharma, S. (2015). Range free localization techniques in wireless sensor networks: A review. Procedia Computer Science, 57, 7–16.CrossRef
25.
Zurück zum Zitat Shang, Y., Rumi, W., Zhang, Y., & Fromherz, M. (2004). Localization from connectivity in sensor networks. IEEE Transactions on Parallel and Distributed Systems, 15(11), 961–974.CrossRef Shang, Y., Rumi, W., Zhang, Y., & Fromherz, M. (2004). Localization from connectivity in sensor networks. IEEE Transactions on Parallel and Distributed Systems, 15(11), 961–974.CrossRef
26.
Zurück zum Zitat Niculescu, D., & Nath, B. (2003). DV based positioning in ad hoc networks. Telecommunication Systems, 22(1–4), 267–280.CrossRef Niculescu, D., & Nath, B. (2003). DV based positioning in ad hoc networks. Telecommunication Systems, 22(1–4), 267–280.CrossRef
27.
Zurück zum Zitat Ji, W.-W., & Liu, Z. (2006). An improvement of DV-Hop algorithm in wireless sensor networks. In International conference on wireless communications, networking and mobile computing. WiCOM 2006 (pp. 1–4). IEEE. Ji, W.-W., & Liu, Z. (2006). An improvement of DV-Hop algorithm in wireless sensor networks. In International conference on wireless communications, networking and mobile computing. WiCOM 2006 (pp. 1–4). IEEE.
28.
Zurück zum Zitat Chen, H., Sezaki, K., Deng, P., & So, H. C. (2008). An improved DV-Hop localization algorithm for wireless sensor networks. In 3rd IEEE conference on industrial electronics and applications. ICIEA 2008 (pp. 1557–1561). IEEE. Chen, H., Sezaki, K., Deng, P., & So, H. C. (2008). An improved DV-Hop localization algorithm for wireless sensor networks. In 3rd IEEE conference on industrial electronics and applications. ICIEA 2008 (pp. 1557–1561). IEEE.
29.
Zurück zum Zitat Xiang, M., Hu, Y., & Li, L. (2011). A connectivity based localization algorithm for sensor network. In 2011 international conference on network computing and information security (NCIS) (Vol. 2, pp. 273–277). IEEE. Xiang, M., Hu, Y., & Li, L. (2011). A connectivity based localization algorithm for sensor network. In 2011 international conference on network computing and information security (NCIS) (Vol. 2, pp. 273–277). IEEE.
30.
Zurück zum Zitat Mao, G., Fidan, B., & Anderson, B. D. (2007). Wireless sensor network localization techniques. Computer Networks, 51(10), 2529–2553.CrossRef Mao, G., Fidan, B., & Anderson, B. D. (2007). Wireless sensor network localization techniques. Computer Networks, 51(10), 2529–2553.CrossRef
31.
Zurück zum Zitat Wu, D., Bao, L., & Li, R. (2011). Robust localization protocols and algorithms in wireless sensor networks using UWB. Ad Hoc & Sensor Wireless Networks, 11(3–4), 219–243. Wu, D., Bao, L., & Li, R. (2011). Robust localization protocols and algorithms in wireless sensor networks using UWB. Ad Hoc & Sensor Wireless Networks, 11(3–4), 219–243.
32.
Zurück zum Zitat He, T., Huang, C., Blum, B. M., Stankovic, J. A., & Abdelzaher, T. (2003). Range-free localization schemes for large scale sensor networks. In Proceedings of the 9th annual international conference on mobile computing and networking (pp. 81–95). ACM. He, T., Huang, C., Blum, B. M., Stankovic, J. A., & Abdelzaher, T. (2003). Range-free localization schemes for large scale sensor networks. In Proceedings of the 9th annual international conference on mobile computing and networking (pp. 81–95). ACM.
33.
Zurück zum Zitat Nagpal, R. (1999). Organizing a global coordinate system from local information on an amorphous computer. A.I. Memo No. 1666. MIT. Nagpal, R. (1999). Organizing a global coordinate system from local information on an amorphous computer. A.I. Memo No. 1666. MIT.
34.
Zurück zum Zitat Nagpal, R., Shrobe, H., & Bachrach, J. (2003). Organizing a global coordinate system from local information on an ad hoc sensor network. In Information processing in sensor networks (pp. 333–348). Springer. Nagpal, R., Shrobe, H., & Bachrach, J. (2003). Organizing a global coordinate system from local information on an ad hoc sensor network. In Information processing in sensor networks (pp. 333–348). Springer.
35.
Zurück zum Zitat Bulusu, N., Heidemann, J., & Estrin, D. (2000). GPS-less low-cost outdoor localization for very small devices. IEEE Personal Communications, 7(5), 28–34.CrossRef Bulusu, N., Heidemann, J., & Estrin, D. (2000). GPS-less low-cost outdoor localization for very small devices. IEEE Personal Communications, 7(5), 28–34.CrossRef
36.
Zurück zum Zitat Zhang, S., Cao, J., Li-Jun, C., & Chen, D. (2010). Accurate and energy-efficient range-free localization for mobile sensor networks. IEEE Transactions on Mobile Computing, 9(6), 897–910.CrossRef Zhang, S., Cao, J., Li-Jun, C., & Chen, D. (2010). Accurate and energy-efficient range-free localization for mobile sensor networks. IEEE Transactions on Mobile Computing, 9(6), 897–910.CrossRef
37.
Zurück zum Zitat Doherty, L., Pister, K. S., & El Ghaoui, L. (2001). Convex position estimation in wireless sensor networks. In INFOCOM 2001. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings (Vol. 3, pp. 1655–1663). IEEE. Doherty, L., Pister, K. S., & El Ghaoui, L. (2001). Convex position estimation in wireless sensor networks. In INFOCOM 2001. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings (Vol. 3, pp. 1655–1663). IEEE.
38.
Zurück zum Zitat Sheu, J.-P., Chen, P.-C., & Hsu, C.-S. (2008). A distributed localization scheme for wireless sensor networks with improved grid-scan and vector-based refinement. IEEE Transactions on Mobile Computing, 7(9), 1110–1123.CrossRef Sheu, J.-P., Chen, P.-C., & Hsu, C.-S. (2008). A distributed localization scheme for wireless sensor networks with improved grid-scan and vector-based refinement. IEEE Transactions on Mobile Computing, 7(9), 1110–1123.CrossRef
39.
Zurück zum Zitat Sheu, J.-P., Li, J.-M., & Hsu, C.-S. (2006). A distributed location estimating algorithm for wireless sensor networks. In IEEE international conference on sensor networks, ubiquitous, and trustworthy computing (SUTC’06) (Vol. 1, 8 pp.). IEEE. Sheu, J.-P., Li, J.-M., & Hsu, C.-S. (2006). A distributed location estimating algorithm for wireless sensor networks. In IEEE international conference on sensor networks, ubiquitous, and trustworthy computing (SUTC’06) (Vol. 1, 8 pp.). IEEE.
40.
Zurück zum Zitat Gholami, M. R., Wymeersch, H., Gezici, S., & Strom, E. G. (2013). Distributed bounding of feasible sets in cooperative wireless network positioning. IEEE Communications Letters, 17(8), 1596–1599.CrossRef Gholami, M. R., Wymeersch, H., Gezici, S., & Strom, E. G. (2013). Distributed bounding of feasible sets in cooperative wireless network positioning. IEEE Communications Letters, 17(8), 1596–1599.CrossRef
41.
Zurück zum Zitat Wymeersch, H., Lien, J., & Win, M. Z. (2009). Cooperative localization in wireless networks. Proceedings of the IEEE, 97(2), 427–450.CrossRef Wymeersch, H., Lien, J., & Win, M. Z. (2009). Cooperative localization in wireless networks. Proceedings of the IEEE, 97(2), 427–450.CrossRef
42.
Zurück zum Zitat Gholami, M. R., Ström, E. G., Wymeersch, H., & Rydström, M. (2015). On geometric upper bounds for positioning algorithms in wireless sensor networks. Signal Processing, 111, 179–193.CrossRef Gholami, M. R., Ström, E. G., Wymeersch, H., & Rydström, M. (2015). On geometric upper bounds for positioning algorithms in wireless sensor networks. Signal Processing, 111, 179–193.CrossRef
43.
Zurück zum Zitat Boyd, S., & Grant, M. (2013). CVX: Matlab software for disciplined convex programming. Boyd, S., & Grant, M. (2013). CVX: Matlab software for disciplined convex programming.
44.
Zurück zum Zitat Li, S., Ding, X., & Yang, T. (2015). Analysis of five typical localization algorithms for wireless sensor networks. Wireless Sensor Network, 7(04), 27.CrossRef Li, S., Ding, X., & Yang, T. (2015). Analysis of five typical localization algorithms for wireless sensor networks. Wireless Sensor Network, 7(04), 27.CrossRef
45.
Zurück zum Zitat Kuhn, F., Wattenhofer, R., & Zollinger, A. (2008). Ad hoc networks beyond unit disk graphs. Wireless Networks, 14(5), 715–729.CrossRef Kuhn, F., Wattenhofer, R., & Zollinger, A. (2008). Ad hoc networks beyond unit disk graphs. Wireless Networks, 14(5), 715–729.CrossRef
Metadaten
Titel
CRWSNP: cooperative range-free wireless sensor network positioning algorithm
verfasst von
Fatemeh Darakeh
Gholam-Reza Mohammad-Khani
Paeiz Azmi
Publikationsdatum
24.04.2017
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 8/2018
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-017-1505-2

Weitere Artikel der Ausgabe 8/2018

Wireless Networks 8/2018 Zur Ausgabe

Neuer Inhalt