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  5. Received signal strength indication (RSSI) code assessment for wireless sensors network (WSN) deployed Raspberry-Pi
 
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Received signal strength indication (RSSI) code assessment for wireless sensors network (WSN) deployed Raspberry-Pi

Date Issued
2017-03-06
Author(s)
Mohd Ilman Jais
Universiti Malaysia Perlis
Thennarasan Sabapathy
Universiti Malaysia Perlis
Muzammil Jusoh
Universiti Malaysia Perlis
Phak Len Al Eh Kan
Universiti Malaysia Perlis
Murukesan L.
Intel
Ismail I.
R Badlishah Ahmad
Universiti Malaysia Perlis
DOI
10.1109/ICORAS.2016.7872618
Abstract
Wireless sensor network (WSN) is commonly used for localization applications. Through sniffing receive signal strength indicator (RSSI) in WSN system, localization and connection to access point highest RSSI can be done automatically. In this paper, we propose Raspberry-Pi (RasPi), based best access point selection method utilizing RSSI metric. The RasPi brings the advantages of a personal computer (PC) to the domain of sensor network, which makes it the perfect platform for interfacing with a wide variety of external peripherals. This work aims to investigate various source codes deployed on RasPi for localization purpose by sniffing the RSSI metric. Consequently, comparative analysis of its key elements and performances with some of the currently available wireless sensor nodes have shown that despite few disadvantages, RasPi remains an inexpensive single board computer (SBC) which has been used very successfully in sensor network domain and diverse range of research applications.
Subjects
  • Wireless sensor netwo...

  • Raspberry-Pi (RasPi)

  • Received Signal Stren...

File(s)
Research repository notification.pdf (4.4 MB)
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