Mujahid, Tabassum and Kartinah, Zen (2015) Performance Evaluation of ZigBee in Indoor and Outdoor Environment. In: 2015 9th International Conference on IT in Asia (CITA) : Transforming Big Data into Knowledge, 4-5 August 2015, Kuching, Sarawak Malaysia.
Performance Evaluation of ZigBee in Indoor (abstract).pdf
Download (125kB) | Preview
Wireless Sensor Network (WSN) comprises of many distributed independent tiny sensors that used to monitor statistical data of specific environmental conditions such as temperature, humidity, rain, pressure and many other. WSN use unlicensed 2.4 GHz Industrial, Scientific and Medical (ISM) radio frequency band for data transmission. WSN applications are being used in many industries and civilian areas, for various purposes such as environmental monitoring, habitat monitoring, traffic monitoring, precision agriculture monitoring, security monitoring, facility automation and traceability systems. Deployment of WSN in an outdoor or indoor environment always raised issue of signal loses and signal interference. In WSN, data is transmitted over wireless medium which is easily affected by external aspect such as walls, trees, heavy bushes, multiple signal interference and others. Currently, IEEE standard 802.15.4 MAC protocol and ZigBee are the most famous protocols which are been used in WSN industry. In this paper, we have performed several experiments under various conditions such as indoor, outdoor, co-existence of Bluetooth to observe the ZigBee performance and interference effects. The experiments were performed physically in real environments which showed ZigBee signal degradation under various indoor and outdoor conditions.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||Wireless Sensor Network; Bluetooth; ZigBee; Interference and Performance Evaluation, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education|
|Subjects:||T Technology > T Technology (General)|
|Divisions:||Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology|
|Depositing User:||Karen Kornalius|
|Date Deposited:||08 Sep 2016 22:42|
|Last Modified:||14 Feb 2017 06:25|
Actions (For repository members only: login required)