1.   مشاوره و انجام پروپوزال  و پایان نامه ، مشاوره در زمینه ارائه سمینار، 
       مشاوره و انجام مقاله های بین المللی و داخلی، 
       مشاوره و انجام مقاله در مجله های علمی پژوهشی معتبر، 
        مشاوره و آموزش شبیه سازی شبکه توسط شبیه ساز آکادمیک 2-NS، 
         مشاوره و آموزش شبیه سازهای ترافیک شهری از قبیل  SUMO، ONE، و ...
          کمک به دانشجویان برای پیاده سازی ایده ها و مقالات خود با شبیه سازهای
               NS2, NS3 , OMNET++ , ONE
     
    
                 شماره تماس :
                         حسین رنجبران:    09101607834   
                                          
    
                  ساعات تماس: 
                                      ۸ الی ۲۰
                         
                   ایمیل:
                         hossein.ranjbaran.it@gmail.com
                        
           
    

Low Power Prediction Mechanism for Wsn-based Object Tracking

شروع موضوع توسط AdMiN ‏25/11/15 در انجمن الگوریتمهای ردیابی هدف

وضعیت موضوع:
You must be a logged-in, registered member of this site to view further posts in this thread.
  1. AdMiN

    AdMiN Administrator هیات مدیره

    Abstract
    Power source replacement of the sensor node which are once deployed in the network area, is generally difficult. So energy saving is one of the most important issues for object tracking in wireless sensor networks. To reduce the consumed energy and prolong the network lifetime the nodes surrounding the mobile object should be responsible for sensing the target. The number of participant nodes in target tracking can be reduced by an accurate prediction of the object location. In this paper we present fast energy efficient with high accuracy target tracking scheme which is based on location prediction. The missing rate of proposed predictor is very low in comparison with other predictors especially in random way point mobility model in which after pause time the three main parameters: direction, velocity and acceleration would be changed. The accuracy of predictor has direct effect on missing rate and so strongly reduces the consumed energy. Additionally a new node selection criterion is proposed in which minimum nodes surrounding the object are wakened and track the object. Simulation results show that our proposed predictor has low consumed energy and complexity in comparison with EKF and UKF predictors.

    Keywords
    Target Tracking; Wireless sensor networks; Energy Efficient; Kalman Filter; Random Waypoint.

    لینک دانلود در پست بعد برای اعضاء قابل مشاهده است.​
     
وضعیت موضوع:
You must be a logged-in, registered member of this site to view further posts in this thread.

این صفحه را به اشتراک بگذارید