Papers by Keyword: Trilateration

Abstract: This paper develops the design technology of a sensing platform for the HWR to perform a role of both health and life care in an aging society. The localization of indoor mobile robot is so important for its elaborate trajectory control. We set research focus on self-localization in this paper. The RF sensor network system is installed to improve its self-localization ability so that the HWR can identify its own location and track the path very well. A fusion algorithm using RSSI(Received Signal strength indication) and trilateration is also proposed for the agile self-localization. It is implemented by new configuration of novel sensing architecture and embedded software. Finally, we confirm its good performance through the resultant data of live tests.

Abstract: Localization is an important process in wireless sensor networks (WSNs). In this paper, we present a localization algorithm based on triangle grid scan (TGS) method. The objective of this research is to provide an affordable mean for localization using wireless area network Wi-Fi technology with mobile robot. Experimental study reveals that the proposed TGS mechanism effectively guides the mobile anchor to move along an efficient path.

Abstract: For determine the location of the ingestible electronic pill inside the human body ，a new positioning system of the micro medical device inside the human body is designed. CC2430 communication chips combined with ZigBee protocol software are used as radio frequency transceiver of the system. When transmission power is very low, significant error codes will be generated at the receiving terminal. We can locate the electronic pill according to the analysis results of the packet error rate. And we adopt Trilateration to build up a set of nonlinear equations, which is related to the inter-node distance and spatial location variables of the pill. At last, equations are solved with numerical solution. It is found that the method is feasible.

Abstract: A novel Global Positioning Algorithm for Workers in Underground Coal Mine Based on RSSI (Received Signal Strength Indication) is proposed and implemented. The innovation of the algorithm is the RSSI optimization and GIS auxiliary positioning. The RSSI optimization can reduces the error caused when the blind code is too closed to the reference node, and GIS auxiliary positioning is to solve the problem that the number of the reference codes in the communication radius of blind code is less than three. Experimental Results Indicate that Global positioning algorithm has the average vertical positioning error less than 4m, the horizontal error less than 1/2 roadway width, and the positioning cycle less than 1s, with better positioning and tracking performance, and expands the coverage of the network of underground positioning.

Abstract: The proliferation of wireless sensor networks (WSNs) has fostered the demand of context aware applications, among which localization plays a significant role. Localization in WSN is facing the challenges of (1) error and noise; (2) dynamic environments; (3) data packet loss. However, most presented localization algorithms are verified just by simulation but practical systems. To validate the localization algorithms realistically, a prototype WSN system equipped with a group of sensor nodes is deployed in this paper. A trilateration based optimization approaches and the Extended Kalman Filter (EKF) with position-velocity (PV) model are proposed and tested in the system comparing with the traditional trilateration. The experiment result indicates that the two proposed localization algorithms have much better accuracy than the traditional trilateration and, in a certain aspect, EKF with PV model is the most suitable algorithm among the three algorithms for localization in the prototype system.

Abstract: In this paper the authors present the localization system which uses triangulation and trilateration to position mobile robot in the two-dimensional space. Distance was measured with the strength of radio signal emitted by devices of existing communication network, which were constructed by the authors. To get the actual distance in the function of radio signal strength the calibration curve, which was set empirically, made from the spline of linear functions was used. Research in this paper can be divided into two parts: the quality tests of communication and the localization using radio waves. Quantity measure of the correctly transmitted frames showed that the communication network works with the credibility of 80%, which is good result for the radio waves. Outcome of the localization quality showed that the position error did not surpass 1.7 m, which is a good result compared to the error of a typical GPS receiver is 15 m. Summing up, the localization system proposed by the authors is working well. Furthermore the test showed that triangulation and trilateration are universal methods of positioning and they can be used in other systems. Additionally the test indicated that the accuracy can by increased by using devices with a better signal strength measure.