Wi-Fi Signal Coverage Distance Estimation in Collapsed Structures

Recently, there is an increasing trend of research in leveraging Wi-Fi signatures for various applications. This paper investigates the feasibility of effective Wi-Fi signals coverage in the case of collapsed structures. The objectives of this paper are to first identify the possible collapsed structure environments and then to compute the effective distance coverage for license free ISM bands signals to have maximum coverage. This scheme discusses Wi-Fi signals behavior at three different frequencies i.e., 5GHz, 2.4GHz and 900MHz which is also termed as Wi-Fi Halow. We have employed modified path loss model termed as PLCollapsed for proper reception of echo that estimates the coverage range based on path losses encountered to Wi-Fi signal in these collapsed environments. The objectives have been achieved through proper simulations with different attenuation factors based on complexity of collapsed structure and are compared for aforementioned frequencies. Comparison of simulation results shows that Wi-Fi halow outperforms other frequencies and can be very effective for post-disaster rescue while replacing the traditional Doppler radar techniques hence paving way for more ubiquitous systems.

[1]  M. Feliziani,et al.  Localization of radio emitters into collapsed buildings after earthquake: Measurements of path loss and direction of arrival , 2012, International Symposium on Electromagnetic Compatibility - EMC EUROPE.

[2]  Theodore S. Rappaport,et al.  In-building wideband partition loss measurements at 2.5 and 60 GHz , 2004, IEEE Transactions on Wireless Communications.

[3]  S. Seidel,et al.  914 MHz path loss prediction models for indoor wireless communications in multifloored buildings , 1992 .

[4]  Zhao Li,et al.  Detection of trapped survivors using 270/400 MHz dual-frequency IR-UWB radar based on time division multiplexing , 2014, 2014 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS).

[5]  Haejoon Jung,et al.  Experimental range extension of concurrent cooperative transmission in indoor environments at 2.4GHz , 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

[6]  Jing Li,et al.  Advanced Signal Processing for Vital Sign Extraction With Applications in UWB Radar Detection of Trapped Victims in Complex Environments , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[7]  Leonhard M. Reindl,et al.  Large-scale fading model for mobile communications in disaster and salvage scenarios , 2010, WCSP.

[8]  D. Cassioli,et al.  A multi-wall path loss model for indoor UWB propagation , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[9]  Saqib Ali,et al.  Optimized interference aware joint channel assignment model for wireless mesh network , 2016, Telecommun. Syst..

[10]  Jie Wu,et al.  Dependable Structural Health Monitoring Using Wireless Sensor Networks , 2015, IEEE Transactions on Dependable and Secure Computing.

[11]  Ignas G. Niemegeers,et al.  Outdoor Long-Range WLANs: A Lesson for IEEE 802.11ah , 2015, IEEE Communications Surveys & Tutorials.

[12]  Siavash Moghadami,et al.  A Compact Portable Microwave Life-Detection Device for Finding Survivors , 2016, IEEE Embedded Systems Letters.

[13]  Lorenzo Crocco,et al.  A review on ground penetrating radar technology for the detection of buried or trapped victims , 2014, 2014 International Conference on Collaboration Technologies and Systems (CTS).

[14]  Emidio DiGiampaolo,et al.  Experimental Characterization of Electromagnetic Propagation Under Rubble of a Historic Town After Disaster , 2015, IEEE Transactions on Vehicular Technology.

[15]  T. Schwengler,et al.  Propagation models at 5.8 GHz-path loss and building penetration , 2000, RAWCON 2000. 2000 IEEE Radio and Wireless Conference (Cat. No.00EX404).

[16]  Carlo Atzeni,et al.  An ultra-wideband high-dynamic range GPR for detecting buried people after collapse of buildings , 2010, Proceedings of the XIII Internarional Conference on Ground Penetrating Radar.

[17]  Donald C. Cox,et al.  Four-frequency CW measurements in residential environments for personal communications , 1994, Proceedings of 1994 3rd IEEE International Conference on Universal Personal Communications.

[18]  Hideaki Okamoto,et al.  Outdoor-to-Indoor Propagation Loss Prediction in 800-MHz to 8-GHz Band for an Urban Area , 2009, IEEE Transactions on Vehicular Technology.

[19]  Dirk Grunwald,et al.  A Survey of Wireless Path Loss Prediction and Coverage Mapping Methods , 2013, IEEE Communications Surveys & Tutorials.

[20]  L. H. Loew,et al.  Radio propagation into buildings at 912, 1920, and 5990 MHz using microcells , 1994, Proceedings of 1994 3rd IEEE International Conference on Universal Personal Communications.

[21]  Bang Wang,et al.  Effective placement of femtocell base stations in commercial buildings , 2014, 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN).

[22]  Lei Jing,et al.  Design of a 3D localization method for searching survivors after an earthquake based on WSN , 2011, 2011 3rd International Conference on Awareness Science and Technology (iCAST).

[23]  Zhengqing Yun,et al.  Propagation prediction models for wireless communication systems , 2002 .

[24]  Theodore S. Rappaport,et al.  Measurements and models for radio path loss and penetration loss in and around homes and trees at 5.85 GHz , 1998, IEEE Trans. Commun..

[25]  Xiongwen Zhao,et al.  Characterization of Doppler spectra for mobile communications at 5.3 GHz , 2003, IEEE Trans. Veh. Technol..

[26]  Ram M. Narayanan Earthquake survivor detection using life signals from radar micro-Doppler , 2011, ACWR '11.

[27]  Ji Zhang,et al.  NSSSD: A new semantic hierarchical storage for sensor data , 2016, 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

[28]  Jie Wu,et al.  Sensing and Decision Making in Cyber-Physical Systems: The Case of Structural Event Monitoring , 2016, IEEE Transactions on Industrial Informatics.

[29]  Lorne Liechty,et al.  Developing the Best 2.4 GHz Propagation Model from Active Network Measurements , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[30]  Kate A. Remley,et al.  Propagation measurements before, during, and after the collapse of three large public buildings , 2014, IEEE Antennas and Propagation Magazine.

[31]  Jie Wu,et al.  Quality-Guaranteed Event-Sensitive Data Collection and Monitoring in Vibration Sensor Networks , 2017, IEEE Transactions on Industrial Informatics.