Abstract:
Multicast routing that meets multiple quality of service constraints is important for
supporting multimedia communications in the Internet of Things (IoT). Existing
multicast routing technologies for IoT mainly focus on ad hoc sensor networking
scenarios; thus, are not responsive and robust enough for supporting multimedia
applications in an IoT environment. In order to tackle the challenging problem of
multicast routing for multimedia communications in IoT, in this book, we analysed
two algorithms for the establishing multicast routing tree for multimedia data
transmissions. The proposed algorithms leverage an entropy-based process to
aggregate all weights into a comprehensive metric, and then uses it to search a
multicast tree on the basis of the spanning tree and shortest path tree algorithms. We
went through the evolution of the problem from wired networks to wireless
netoworks.The book shows the theoretical analysis and extensive simulations for
evaluating the proposed algorithms. Both analytical and experimental results
demonstrate that one of the proposed algorithms is more efficient than a representative
multiconstrained multicast routing algorithm in terms of both speed and accuracy;
thus, is able to support multimedia communications in an IoT environment. We
believe that the results shown at the end of the algorithm description are able to
provide in-depth insight into the multicast routing algorithm design for multimedia
communications in IoT and also will speak for themselves of ensuring a better
Multicast Routing for Multimedia networks in Internet Of Things based on multiple
constraints.
Description:
Supervised by
Dr. Muhammad Mahbub Alam
Professor,
Department of Computer Science and Engineering (CSE),
Islamic University of Technology (IUT),
Board Bazar, Gazipur-1704, Bangladesh.