Adaptive Neural Fuzzy Inference System for Accurate Localization of Wireless Sensor Network in Outdoor and Indoor Cycling Applications

When localizing wireless sensor networks, estimating the distances of sensor nodes according to the known locations of the anchor nodes remains a challenge. As nodes may transfer from one place to another, a localization technique that can measure or determine the location of a mobile node is necessary. In this paper, the distance between a bicycle when moves on the cycling track and a coordinator node (i.e., coach), which positioned on the middle of the cycling field was estimated for the indoor and outdoor velodromes. The distance was determined based on two methods. First, the raw estimate is done by using the log-normal shadowing model (LNSM) and later, the intelligence technique, based on adaptive neural fuzzy inference system (ANFIS) is applied to improve the distance estimation accuracy, especially in an indoor environment, which the signal is severely dominated by the effect of wireless multipath impairments. The received signal strength indicator from anchor nodes based on ZigBee wireless protocol are employed as inputs to the ANFIS and LNSM. In addition, the parameters of the propagation channel, such as standard deviation and path loss exponent were measured. The results shown that the distance estimation accuracy was improved by 84% and 99% for indoor and outdoor velodromes, respectively, after applying the ANFIS optimization, relative to the rough estimate by the LNSM method. Moreover, the proposed ANFIS technique outperforms the previous studies in terms of errors of estimated distance with minimal mean absolute error of 0.023 m (outdoor velodrome) and 0.283 m (indoor velodrome).

[1]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[2]  Kuei-Chung Chang,et al.  Neural fuzzy based indoor localization by Kalman filtering with propagation channel modeling , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[3]  Mian Yang,et al.  Fuzzy distance measuring based on RSSI in Wireless Sensor Network , 2008, 2008 3rd International Conference on Intelligent System and Knowledge Engineering.

[4]  Soohan Kim,et al.  A soft computing approach to localization in wireless sensor networks , 2009, Expert Syst. Appl..

[5]  Ganesh K. Venayagamoorthy,et al.  Bio-inspired Algorithms for Autonomous Deployment and Localization of Sensor Nodes , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[6]  Wei Liu,et al.  Distance Measurement Model Based on RSSI in WSN , 2010, Wirel. Sens. Netw..

[7]  Miodrag Bolic,et al.  Neural-based approach for localization of sensors in indoor environment , 2010, Telecommun. Syst..

[8]  Amitangshu Pal,et al.  Localization Algorithms in Wireless Sensor Networks: Current Approaches and Future Challenges , 2010, Netw. Protoc. Algorithms.

[9]  Roberto Maurizio Pellegrini,et al.  ZigBee Sensor Network propagation analysis for health-care application , 2010, 2010 Fifth International Conference on Broadband and Biomedical Communications.

[10]  Jin Zhang,et al.  Research of Self-calibration Location Algorithm for ZigBee Based on PSO-RSSI , 2011 .

[11]  João Matias,et al.  Indoor Location Using Fingerprinting and Fuzzy Logic , 2011, Eurofuse.

[12]  Seyed Mohammad Nekooei,et al.  Location Finding in Wireless Sensor Network Based on Soft Computing Methods , 2011, 2011 International Conference on Control, Automation and Systems Engineering (CASE).

[13]  Yi Liu,et al.  A Localization Algorithm in Wireless Sensor Networks Based on PSO , 2011, ICSI.

[14]  Jaerock Kwon,et al.  Efficient WiFi-Based Indoor Localization Using Particle Swarm Optimization , 2011, ICSI.

[15]  John A. Stankovic,et al.  Practical and secure localization and key distribution for wireless sensor networks , 2012, Ad Hoc Networks.

[16]  Jiafu Wan,et al.  Issues and Challenges of Wireless Sensor Networks Localization in Emerging Applications , 2012, 2012 International Conference on Computer Science and Electronics Engineering.

[17]  Ki-Doo Kim,et al.  RSS-Based Indoor Localization Algorithm for Wireless Sensor Network Using Generalized Regression Neural Network , 2012 .

[18]  Carlos León,et al.  LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN , 2012, Ad Hoc Networks.

[19]  Necmi Altin,et al.  dSPACE based adaptive neuro-fuzzy controller of grid interactive inverter , 2012 .

[20]  S. R. Munasinghe,et al.  Localization of a mobile robot using ZigBee based optimization techniques , 2012, 2012 IEEE 6th International Conference on Information and Automation for Sustainability.

[21]  Mirna Issa,et al.  Adaptive neuro fuzzy controller for adaptive compliant robotic gripper , 2012, Expert Syst. Appl..

[22]  João B. Martins,et al.  An approach to localization scheme of wireless sensor networks based on artificial neural networks and Genetic Algorithms , 2012, 10th IEEE International NEWCAS Conference.

[23]  Q. Pan,et al.  Distributed, Robust Acoustic Source Localization in a Wireless Sensor Network , 2012, IEEE Transactions on Signal Processing.

[24]  Shuai Li,et al.  A dynamic neural network approach for solving nonlinear inequalities defined on a graph and its application to distributed, routing-free, range-free localization of WSNs , 2013, Neurocomputing.

[25]  Pedro Pinho,et al.  Evaluation of a sectorised antenna in an indoor localisation system , 2013 .

[26]  Golam Kabir,et al.  Comparative Analysis of Artificial Neural Networks and Neuro-Fuzzy Models for Multicriteria Demand Forecasting , 2013, Int. J. Fuzzy Syst. Appl..

[27]  C. S. Rai,et al.  Comparative analysis of Bayesian regularization and Levenberg-Marquardt training algorithm for localization in wireless sensor network , 2013, 2013 15th International Conference on Advanced Communications Technology (ICACT).

[28]  Rajeev Piyare,et al.  Performance Analysis of XBee ZB Module Based Wireless Sensor Networks , 2013 .

[29]  Andrew H. Kemp,et al.  Statistical analysis of wireless sensor network Gaussian range estimation errors , 2013, IET Wirel. Sens. Syst..

[30]  Yunhao Liu,et al.  Localization of Wireless Sensor Networks in the Wild: Pursuit of Ranging Quality , 2013, IEEE/ACM Transactions on Networking.

[31]  Antonio Lázaro,et al.  Investigation of radio channel uncertainty in distance estimation in wireless sensor networks , 2013, Telecommun. Syst..

[32]  Antonio F. Gómez-Skarmeta,et al.  An indoor localization system based on artificial neural networks and particle filters applied to intelligent buildings , 2013, Neurocomputing.

[33]  Ashok Kumar,et al.  Fuzzy Logic Based Improved Range Free Localization for Wireless Sensor Networks , 2013 .

[34]  Daniel Curiac,et al.  Efficiency improvement in multi-sensor wireless network based estimation algorithms for distributed parameter systems with application at the heat transfer , 2013, EURASIP J. Adv. Signal Process..

[35]  João Matias,et al.  A Fuzzy Logic Approach to Indoor Location Using Fingerprinting , 2013 .

[36]  Rosdiadee Nordin,et al.  Empirical investigation of pedal power calculation techniques for track cycling performance measurement , 2013, 2013 IEEE Student Conference on Research and Developement.

[37]  Jagruti Sahoo,et al.  DuRT: Dual RSSI Trend Based Localization for Wireless Sensor Networks , 2013, IEEE Sensors Journal.

[38]  Guillermo Licea,et al.  Estimating Indoor Zone-Level Location Using Wi-Fi RSSI Fingerprinting Based on Fuzzy Inference System , 2013, 2013 International Conference on Mechatronics, Electronics and Automotive Engineering.

[39]  Ralf Lehnert,et al.  Performance of POA-Based Sensor Nodes for Localization Purposes , 2014, ADHOC-NOW.

[40]  A. Gopakumar,et al.  Performance of gravitational search algorithm in wireless sensor network localization , 2014, 2014 IEEE National Conference on Communication, Signal Processing and Networking (NCCSN).

[41]  Imre J. Rudas,et al.  ANFIS-Based Indoor Location Awareness System for the Position Monitoring of Patients , 2014 .

[42]  Jorge Juan Robles Indoor localization based on wireless sensor networks , 2014 .

[43]  Leh Luoh,et al.  ZigBee-based intelligent indoor positioning system soft computing , 2014, Soft Comput..

[44]  C. S. Rai,et al.  Artificial Neural Networks for developing localization framework in Wireless Sensor Networks , 2014, 2014 International Conference on Data Mining and Intelligent Computing (ICDMIC).

[45]  Sinem Coleri Ergen,et al.  Minimum Energy Data Transmission for Wireless Networked Control Systems , 2014, IEEE Transactions on Wireless Communications.

[46]  Seong Ro Lee,et al.  Localization Estimation Using Artificial Intelligence Technique in Wireless Sensor Networks , 2014 .

[47]  Shiu Kumar,et al.  Localization with RSSI Values for Wireless Sensor Networks: An Artificial Neural Network Approach , 2014, ECSA 2014.

[48]  Peng Zhang,et al.  RSS-Based Source Localization When Path-Loss Model Parameters are Unknown , 2014, IEEE Communications Letters.

[49]  Erkam Uzun,et al.  The Impact of Transmission Power Control Strategies on Lifetime of Wireless Sensor Networks , 2014, IEEE Transactions on Computers.

[50]  Antonio F. Gómez-Skarmeta,et al.  A soft computing based location-aware access control for smart buildings , 2014, Soft Comput..

[51]  Po-Jen Chuang,et al.  Effective neural network-based node localisation scheme for wireless sensor networks , 2014, IET Wirel. Sens. Syst..

[52]  Mourad Oussalah,et al.  Multivariable fuzzy inference system for fingerprinting indoor localization , 2015, Fuzzy Sets Syst..

[53]  Ridha Bouallegue,et al.  Comparative study of learning-based localization algorithms for Wireless Sensor Networks: Support Vector regression, Neural Network and Naïve Bayes , 2015, 2015 International Wireless Communications and Mobile Computing Conference (IWCMC).

[54]  Yi-Jen Mona,et al.  WSN-Based Indoor Location Identification System (LIS) Applied to Vision Robot Designed by Fuzzy Neural Network , 2015 .

[55]  Ashish Payal,et al.  Analysis of Some Feedforward Artificial Neural Network Training Algorithms for Developing Localization Framework in Wireless Sensor Networks , 2015, Wireless Personal Communications.

[56]  Dan Li,et al.  Amorphous Localization Algorithm Based on BP Artificial Neural Network , 2015, Int. J. Distributed Sens. Networks.

[57]  Sharly Joana Halder,et al.  Advanced Smoothing Approach of RSSI and LQI for Indoor Localization System , 2015, Int. J. Distributed Sens. Networks.

[58]  Fei Zhou,et al.  DV-Hop Node Localization Algorithm Based on Improved Particle Swarm Optimization , 2016, ICC 2016.

[59]  Hyunmin Cho,et al.  RSS-based indoor localization with PDR location tracking for wireless sensor networks , 2016 .

[60]  Ehab S. Elmallah,et al.  Adaptive RSSI-based localization scheme for wireless sensor networks , 2016, Peer Peer Netw. Appl..

[61]  Wang Jun,et al.  A NOVEL HYBRID LOCALIZATION METHOD FOR WIRELESS SENSOR NETWORK , 2016 .

[62]  Rosdiadee Nordin,et al.  Accurate Wireless Sensor Localization Technique Based on Hybrid PSO-ANN Algorithm for Indoor and Outdoor Track Cycling , 2016, IEEE Sensors Journal.

[63]  Jason Jianjun Gu,et al.  Deep Neural Networks for wireless localization in indoor and outdoor environments , 2016, Neurocomputing.

[64]  Hai Yang,et al.  A Fuzzy Adaptive Tightly-Coupled Integration Method for Mobile Target Localization Using SINS/WSN , 2016, Micromachines.

[65]  Sofiène Affes,et al.  Robust ANNs-Based WSN Localization in the Presence of Anisotropic Signal Attenuation , 2016, IEEE Wireless Communications Letters.

[66]  Rashid Rashidzadeh,et al.  Improved particle filter based on WLAN RSSI fingerprinting and smart sensors for indoor localization , 2016, Comput. Commun..

[67]  Gholamhossein Ekbatanifard,et al.  Improving Localization in Wireless Sensor Network Using Fixed and Mobile Guide Nodes , 2016, J. Sensors.

[68]  Ridha Bouallegue,et al.  Interval type 2 fuzzy localization for wireless sensor networks , 2016, EURASIP J. Adv. Signal Process..

[69]  Fang Zhu,et al.  Localization algorithm for large-scale wireless sensor networks based on FCMTSR-support vector machine , 2016, Int. J. Distributed Sens. Networks.

[70]  Chakchai So-In,et al.  Soft computing-based localizations in wireless sensor networks , 2016, Pervasive Mob. Comput..

[71]  Rosdiadee Nordin,et al.  Energy Efficiency of Ultra-Low-Power Bicycle Wireless Sensor Networks Based on a Combination of Power Reduction Techniques , 2016, J. Sensors.

[72]  Rosdiadee Nordin,et al.  A Wireless Sensor Network with Soft Computing Localization Techniques for Track Cycling Applications , 2016, Sensors.

[73]  Ridha Bouallegue,et al.  Adaptive Neuro-Fuzzy Location Indicator in Wireless Sensor Networks , 2017, Wirel. Pers. Commun..

[74]  Soo Young Shin,et al.  Bio Inspired Distributed WSN Localization Based on Chicken Swarm Optimization , 2017, Wireless Personal Communications.

[75]  Bin Wang,et al.  Hardware and software design of BMW system for multi-floor localization , 2017, EURASIP J. Wirel. Commun. Netw..

[76]  Juan M. Corchado,et al.  Preliminary study for improving accuracy on Indoor positioning method using compass and walking detect , 2017, DCAI.

[77]  Anil Kumar,et al.  3D localization of moving target nodes using single anchor node in anisotropic wireless sensor networks , 2017 .

[78]  Nauman Aslam,et al.  Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless Sensor Networks , 2017, Sensors.

[79]  Shirshu Varma,et al.  MSVR Based Range-Free Localization Technique for 3-D Sensor Networks , 2017, Wirel. Pers. Commun..

[80]  Yuanyuan Yang,et al.  A fine-grained indoor fingerprinting localization based on magnetic field strength and channel state information , 2017, Pervasive Mob. Comput..

[81]  Jiafu Wan,et al.  A multimedia healthcare data sharing approach through cloud-based body area network , 2017, Future Gener. Comput. Syst..

[82]  D. K. Lobiyal,et al.  Novel DV-Hop localization algorithm for wireless sensor networks , 2016, Telecommunication Systems.

[83]  S. Arora,et al.  Node Localization in Wireless Sensor Networks Using Butterfly Optimization Algorithm , 2017, Arabian Journal for Science and Engineering.

[84]  Juan Luo,et al.  An Efficient Algorithm for Wireless Sensor Network Localization Based on Hierarchical Structure Poly-Particle Swarm Optimization , 2017, Wirel. Pers. Commun..

[85]  Fei Li,et al.  A Smartphone Camera-Based Indoor Positioning Algorithm of Crowded Scenarios with the Assistance of Deep CNN , 2017, Sensors.

[86]  Meng Joo Er,et al.  A novel heuristic algorithm for node localization in anisotropic wireless sensor networks with holes , 2017, Signal Process..

[87]  Noor Azurati Ahmad,et al.  Adapted WLAN Fingerprint Indoor Positioning System (IPS) Based on User Orientations , 2017 .

[88]  Lu Zhengqiu,et al.  The Study of WSN Node Localization Method Based on Back Propagation Neural Network , 2017 .

[89]  Hong Sun,et al.  Fingerprint-Based Device-Free Localization in Changing Environments Using Enhanced Channel Selection and Logistic Regression , 2018, IEEE Access.

[90]  Dieter Hogrefe,et al.  Multi-Device Fusion for Enhanced Contextual Awareness of Localization in Indoor Environments , 2018, IEEE Access.

[91]  Zhixin Sun,et al.  New Wireless Sensor Network Localization Algorithm for Outdoor Adventure , 2018, IEEE Access.

[92]  Ashok Kumar,et al.  Localization in Wireless Sensor Networks Using Invasive Weed Optimization Based on Fuzzy Logic System , 2018 .

[93]  Nauman Aslam,et al.  New path planning model for mobile anchor-assisted localization in wireless sensor networks , 2018, Wirel. Networks.

[94]  Tri Gia Nguyen,et al.  An enhanced wireless sensor network localization scheme for radio irregularity models using hybrid fuzzy deep extreme learning machines , 2018, Wirel. Networks.

[95]  Gaurav Sharma,et al.  Fuzzy logic based 3D localization in wireless sensor networks using invasive weed and bacterial foraging optimization , 2018, Telecommun. Syst..

[96]  Santar Pal Singh,et al.  A PSO Based Improved Localization Algorithm for Wireless Sensor Network , 2017, Wireless Personal Communications.

[97]  Klemen Bregar,et al.  Improving Indoor Localization Using Convolutional Neural Networks on Computationally Restricted Devices , 2018, IEEE Access.

[98]  Nauman Aslam,et al.  Swarm Intelligence Optimization Techniques for Obstacle-Avoidance Mobility-Assisted Localization in Wireless Sensor Networks , 2018, IEEE Access.

[99]  Noureddine Liouane,et al.  A Novel Range Free Localization Algorithm in Wireless Sensor Networks Based on Connectivity and Genetic Algorithms , 2018, Int. J. Wirel. Inf. Networks.

[100]  Fekher Khelifi,et al.  A new fuzzy logic based node localization mechanism for Wireless Sensor Networks , 2017, Future Gener. Comput. Syst..

[101]  Juan Luo,et al.  Novel localization algorithm for wireless sensor network based on intelligent water drops , 2019, Wirel. Networks.