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A DETAILED COMPARATIVE STUDY BETWEEN REDUCED ORDER LUENBERGER AND REDUCED ORDER DAS & GHOSAL OBSERVER AND THEIR APPLICATIONS

Published In: 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): GOURHARI DAS , PARIJAT BHOWMICK

Abstract: In this paper a detailed comparative study has been carried out between two well known methods of reduced order observer construction, namely - Reduced Order Luenberger method (1964, 1971) [1, 2] and Reduced Order Das and Ghosal method (1981) [5]. Through proper examples and illustrations, similarities and dissimilarities between the above mentioned methodsand their advantage & disadvantages are explained in this paper. Brief mathematical preliminaries, a few theorems, lemmas and governing equations are also included in this paper according to the context.

  • Publication Date: 12-Mar-2012
  • DOI: 10.15224/978-981-07-1847-3-626
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ENERGY EFFICIENT ALGORITHM: PEDAP FOR WSN

Published In: 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): K. RAMESH KUMAR , SANJOY SANA

Abstract: Wireless sensor network (WSNs) are networks of distributed autonomous device that can sense or monitor physical or environmental condition cooperatively. The WNS application can be classified in different categories: monitoring, alerting, healthcare assistance, and actuating, among others. In this environment where in a round of communication each of the sensor nodes has data to send to a base station, it is important to minimize the total energy consumed by the system in a round so that the system lifetime is maximized. With the use of data fusion and aggregation techniques, while minimizing the total energy per round, if power consumption per node can be balanced as well, a near optimal data gathering and routing scheme can be achieved in terms of network lifetime. So far, besides the conventional protocol of direct transmission, two elegant protocols called LEACH and PEGASIS have been proposed to maximize the lifetime of a sensor network. In this paper, we propose two new algorithms

  • Publication Date: 12-Mar-2012
  • DOI: 10.15224/978-981-07-1847-3-646
  • Views: 0
  • Downloads: 0