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
                        
           
    

Sociality-Aided New Adaptive Infection Recovery Schemes for Multicast DTNs

شروع موضوع توسط AdMiN ‏12/5/17 در انجمن انجمن DTN

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

    Delay-tolerant networks (DTNs) consist of nodes moving around and occasionally coming into each other's proximity. During the limited proximity time, nodes can exchange data; this can result in a very slow data dissemination process that is usually governed by a replication-based mechanism. However, due to the long propagation delay and the large overhead associated with the replication approach, DTN delivery performance is neither efficient nor effective. To reduce the overhead, which becomes a critical aspect particularly when addressing a multicast scenario, infection recovery mechanisms have been proposed to control and reduce the number of packet copies circulating through the network. This, however, has the cost of decreasing the chances of delivering packets to all destinations. In this paper, adaptivity in infection recovery is addressed. This represents a viable solution to make transmission more reliable, hence delaying the activation of the infection recovery procedure, depending on the number of nodes, destinations, and the time. Moreover, we also propose to exploit an additional feature in data multicasting, i.e., socially aided data dissemination, where the packet dissemination procedure is not trivially epidemic, but rather exploits the intrinsic sociality of users and their interests to reduce the delivery overhead and speed up the multicast process. More specifically, we consider a procedure where users are not regarded as individual members of the network but can be aggregated into groups sharing interests, and their sociality helps the data dissemination procedure. Results of our analysis show that new sociality-aided adaptive recovery schemes can speed up the delivery process.​

    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