Indoor wireless localisation/positioning systems Essay Example

Indoor wireless localisation/positioning systems

Indoor Wireless Localisation Systems

  1. Significance:

Indoor wireless localisation systems are an area of study that has drawn interest from different authors. Working on aspects such as localization for mobile sensor networks the topic matters is playing important role in contemporary life [1]. Its importance has been attributed to its ability to accurately position objects or people in a building or malls. The relationship between this topic to modern technology is multifaceted. Studies have noted that wireless localisation systems helps in the conceptualization of modern computing and localization of assets and persons within a range [2]. In this era of mobile devices, this topic is important in location of information in healthcare and manufacturing especially where indoor localisation system is needed [3].

  1. Literature Review:

Earlier studies in the field of indoor wireless localisation systems have become multifaceted in the last 15 years. Earlier studies came to a consensus providing impetus that helps in the identification of moving devices with the help of some fixed nodes as well as mobile computing devices [2, 5]. However, researches developing this position adding that using the same localisation methods in the identification of both outdoor and indoor environment would not be possible [7, 9]. The interpretation of this findings was that new discoveries regarding wireless localisation systems was growing and that position information could be used for aspects such as navigation [6].

Recent studies now focus on different aspects of wireless localisation systems including architectural designs required for the design and deployment of a system that can be used in obtaining spatial information and location in an indoor environment [4, 8]. The challenge with this approach is that these studies offer little information on challenging aspects of indoor localisation systems including system scalability, privacy and management overheads [10]. The gap in knowledge from these studies is that with aspects such as GPS not deployed inside buildings, it remained a challenge how their focus on wireless localisation systems would take consideration of aspects such as line-of-sight transmission between receivers and satellites.

Recent studies have developed from the position held by previous studies including solutions on issues such as integration of indoor wireless localisation systems where there is obscurity of the sky and availability of GPS signals in a confined environment as previously contested [1, 4]. The common thesis statements held by these studies are the many options that are available for the design, integration and positioning systems in indoor environment [11, 12]. These studies provide advanced approaches including the need for consideration of radio-frequency, ultrasound, radio-frequency identification (RFID) which was not an option in the previous environment [13, 15]. Areas that recent studies have focused include wireless triangulation techniques [14], fingerprinting techniques [16], and proximity and vision analysis techniques [13].

  1. Highlighting the gaps:

  • The used applications are confined to context detection and location based services

  • Accuracy required by a particular service is still not guaranteed

  • There is need to continuously tracking between indoor and outdoor environments

  1. References

[1] H. Lingxuan & D. Evans. «Localization for mobile sensor networks.» In Proceedings of the 10th annual international conference on Mobile computing and networking, pp. 45-57. ACM, 2004.

[2] Z. Jerry & R. Govindan. «Understanding packet delivery performance in dense wireless sensor networks.» In Proceedings of the 1st international conference on Embedded networked sensor systems, pp. 1-13. ACM, 2003.

[3] M. Hyung, J. Lim, & D. Goodman. «Single carrier FDMA for uplink wireless transmission.» IEEE Vehicular Technology Magazine 1, no. 3 (2006): 30-38.

[4] H. Liu, H. Darabi, P. Banerjee and J. Liu, «Survey of Wireless Indoor Positioning Techniques and Systems», IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 37, no. 6, pp. 1067-1080, 2007.

[5] X. An, R. Venkatesha Prasad, J. Wang, & I. G. M. Niemegeers, ”OPT: Online Person Tracking System for Context-awareness in Wireless Personal Network”, Proc. Mobihoc, 2006.

[6] C. Feng, W. Au, S. Valaee and Z. Tan, «Received-Signal-Strength-Based Indoor Positioning Using Compressive Sensing», IEEE Transactions on Mobile Computing, vol. 11, no. 12, pp. 1983-1993, 2012.

[7] D., Dardari , P., Closas &, P. M. Djurić. Indoor tracking: Theory, methods, and technologies. IEEE Transactions on Vehicular Technology, 64(4), 2005, pp. 1263-1278.

[8]G., Deak., K., Curran & J. Condell. A survey of active and passive indoor localisation systems. Computer Communications, 35(16), 2012 pp. 1939-1954.

[9] C. Krishna, A. Padmanabha Iyer & V. Padmanabhan. «Indoor localization without the pain.» In Proceedings of the sixteenth annual international conference on Mobile computing and networking, pp. 173-184. ACM, 2010.

[10] Y. Zheng, C. Wu, & Y. Liu. «Locating in fingerprint space: wireless indoor localization with little human intervention.» In Proceedings of the 18th annual international conference on Mobile computing and networking, pp. 269-280. ACM, 2012.

[11] S. He and S. Chan, «Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons», IEEE Communications Surveys & Tutorials, vol. 18, no. 1, pp. 466-490, 2016.

[12]C. Wu, Z. Yang, C. Xiao, C. Yang, Y. Liu, and Mingyan Liu. Static power of mobile devices: Self-updating radio maps for wireless indoor localization. In IEEE INFOCOM, 2015.

[13] Y. Zheng, C. Wu, Z. Zhou, X. Zhang, X. Wang, & Y. Liu. «Mobility increases localizability: A survey on wireless indoor localization using inertial sensors.» ACM Computing Surveys (Csur) 47, no. 3 (2015): 54.

[14] M. Kotaru, K. Joshi, D. Bharadia, and S. Katti, “SpotFi: Decimeter level localization using WiFi,” in SIGCOMM Computer Commununications Revision, Aug. 2015, pp. 269–282.

[15] H. Suining, & S. Gary Chan. «Wi-Fi fingerprint-based indoor positioning: Recent advances and comparisons.» IEEE Communications Surveys & Tutorials 18, no. 1 (2016): 466-490.

[16] V, Deepak, S. Kumar, & D. Katabi. «Decimeter-Level Localization with a Single WiFi Access Point.» In NSDI, pp. 165-178. 2016.