Abstract
Event detection at its initial stage is considerably most demanding and more importantly challenging to reduce the causes and damages. The GPS-enabled sensor nodes are possibly a solution for the location estimation, but having GPS receiver in each sensor node makes the network costly. In this paper, the authors have presented a UNL, unknown node localization, method for the estimation of sensor location. The proposed method is based on RSSI, and there is no requirement of extra hardware and communication of data among the sensor nodes. The experiments are conducted in order to investigate the localization accuracy of UNL method, and they analyzed that the proposed method is simple as there is less computation and communication overhead. The proposed algorithm is further compared with other existing localization methods for the accurate estimation of unknown nodes. The experimental results show the effectiveness of the algorithm and its capability for locating the unknown nodes in a network more accurately.
Highlights
In recent times for the medical implantations of sensor the wireless communication devices are studied extensively
Black dots represent the location of anchor nodes, the blue positive (+) sign represents the true location of mobile nodes, and red circle represents the estimated location of mobile nodes
Transmission power, orientation of nodes and the localization algorithms are the parameter that we have analyzed in our experiments affecting the estimation of distance
Summary
In recent times for the medical implantations of sensor the wireless communication devices are studied extensively. Several of studies and various implantable devices like wireless body sensors are gaining attention. The objective of this study is to present an algorithm for the localization of sensor nodes that triggers the event. Critical events such as fires can occur across different environments such as forests, commercial, residential, and/or even open spaces. As satellite-based observations are not continuous with time (Marta et al, 2009), these systems are not suited for the early detection of fire but more likely for the purpose of monitoring and alerts, covering areas of any size.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Healthcare Information Systems and Informatics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
