Conference Paper

Nodes localization through data fusion in sensor network

Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chia-Yi, Taiwan
DOI: 10.1109/AINA.2005.259 Conference: Advanced Information Networking and Applications, 2005. AINA 2005. 19th International Conference on, Volume: 1
Source: IEEE Xplore

ABSTRACT The location of nodes in sensor network is an important problem with application in resource allocation, location sensitive browsing, and emergency communications. A key problem in sensor network location is the creation of a method that is robust to measurement quantization and measurement noise and also has a reasonable implementation cost. The RSS and TDoA are the popular distance measurement methods, but can be easy affected by noise and not independent. This paper explores a covariance intersection (CI) that fuses together location estimations obtained from power propagation loss measurements and propagation time to obtain higher accuracy location estimate. The performances of Kalman filter type estimators are severely affected by the ignored cross covariance. CI algorithm provides a mechanism to fuse two or more random variables with unknown correlation such that the computed covariance of the new estimate is consistent; therefore CI method is quite suitable for sensor network application. In simulation result shows that position estimates are correct within small ranging distance with few initial master nodes of the system.

0 Followers
 · 
76 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Localization by connectivity in wireless sensor networks is an approach that does not impose any additional hardware to sensor nodes and it only uses connectivity information. In this approach localization is erroneous. In this paper we propose a formula to estimate average of error in localization of random sensor network. The work is started with a view on localization in regular distributed network. Obtained formula will be generalized for randomly distributed network using the random density function of connectivity. Proposed formula shows that the error rate is different depending on the network parameters. Simulation results confirm the performance and correctness of the formula.
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on; 11/2008
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: In many scenarios, sensor nodes have to rely on a limited supply of energy (using batteries). To support long lifetime of wireless sensor networks (WSN), an energy-efficient way of operation of the WSN is necessary. In this paper, we propose a new controlled layer deployment (CLD) routing protocol to guarantee coverage and energy efficiency on a sensor network. CLD outperforms PEAS (probing environment and adaptive sleeping) and the TTDD (two-tier data dissemination) protocols in that it can guarantee full area coverage and connection. It can also solve the "cascading problem" which reduces the whole network lifetime. Finally, we show the results of the simulation to prove that the new protocol can use fewer sensor nodes for coverage and increase the lifetime as compared to the PEAS protocol.
    Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE; 04/2007
  • [Show abstract] [Hide abstract]
    ABSTRACT: Localization, the determination of geographical location of sensors is a fundamental problem in wireless sensor networks. In this paper we consider a static wireless network in which the nodes are static-non moving. We propose a positioning method which combines linear frequency modulation continuous wave (FMCW) technique and time frequency difference of arrival (TFDA) method. We conduct simulation experiments to evaluate the performance of these methods. The relationships among measurement resolution, the sweep bandwidth and the sampling frequency are investigated. Results show that the proposed method achieves good performance on position accuracy.
    01/2010; DOI:10.1109/ICMA.2010.5588549