TESTBED SECURE INDOOR LOCALIZATION SYSTEM MENGGUNAKAN CLUSTER BASED PATHLOSS EXPONENTIAL UNTUK ESTIMASI POSISI DI LINGKUNGAN INDOOR PADA WIRELESS SENSOR NETWORK

Abstract

Wireless Sensor Network has become one of the topics that has been researched lately, both for indoor positioning system applications (IPS), tracking objects and monitoring systems. However, efforts made to produce better accuracy values on IPS using the received signal strength value are still not optimal. In addition, when the process of sending data from one device to another device, the data received needs to be maintained in its originality and confidentiality. Thus, the IPS required the addition of a Secure Indoor Localization System (SI-LOCS) scenario to maintain the confidentiality of information during the data transmission process. In this study, SI-LOCS analysis with Raspberry PI 3 was conducted using Cluster Based Pathway Exponential (CBPLE) to increase the accuracy value of the position estimation process using received signal strength values and AES 128 and MD5 Hash Function Security Algorithms. The test results show that the accuracy of the Indoor Positioning System uses a CBPLE of 99.89% while compared to the previous scenario without using CBPLE of 93.85%. The security algorithm used to secure position data from reference nodes and object nodes when the data exchange process shows satisfactory performance and has fulfilled the requirements of confidentiality and data integrity. It is expected that SI-LOCS can be implemented for various IPS applications.