REAL TIME LOCATION BASED ENHANCED ACC SYSTEM WITH 3D RISS-GPS NAVIGATOR FOR ACCIDENCE AVOIDANCE AND TRACKING
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): S.K.DARUN
Abstract: The present technologies provide only assistance in a car for controlling the relative speed and distance between two vehicles in the same lane and permit to drive at a constant given speed in a Highway free of traffic and to maintain a constant distance with the vehicle ahead but not collision avoidance But the proposed system provides enhancements in the present adaptive cruise control system, which in addition to collision detection provides a comprehensive solution to avoid collision without the driver’s intervention. Our system with the help of sensors constantly monitors the lane in which it is traveling. The system after detecting a moving vehicle in front (which moves slower than the set cruise speed of our car) will try to switch to the adjacent lane, if unoccupied. This judgment (of whether a lane is occupied or not) is done with the help of proximity sensors attached on either side of the vehicle. In the new lane, the car will accelerate to the set cruise speed and after ove
- Publication Date: 07-Apr-2013
- DOI: 10.15224/978-981-07-5939-1-22
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ADAPTIVE FUZZY LOGIC BASED QOS MANAGEMENT IN WIRELESS SENSOR NETWORK
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): ALOK KOLE , KRUTIKA SETHIA , PARTHA PRATIM BHATTACHARYA
Abstract: In this paper, the state of the art Quality of Service(QoS) support in Wireless Sensor Network (WSN) is analyzed.Unlike traditional end-to-end multimedia applications, many non-end- to-end mission critical applications visualized for WSN have brought forward new QoS requirements. As an attempt in this direction, an Adaptive Fuzzy logic control based QoS management scheme (AFLC- QM) scheme for WSN’s with constrained resources and dynamic environment is proposed. This scheme deals with the impact of unpredictable changes in traffic load on the QoS of WSN’s. Coverage, lifetime, nodedensity and energy cost are chosen as input parameters. A bell shaped membership function is chosen to analyze the effect of these input parameters on the QoS of the system as it provides low rise and fall time. Then a Fuzzy Logic Rule Base (FLRB) is applied to take the desired decision to improve the QoS. The system results are studied and compared using MATLAB. It gives satisfactory performance and can be eas
- Publication Date: 07-Apr-2013
- DOI: 10.15224/978-981-07-5939-1-23
- Views: 0
- Downloads: 0