Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks
Mobility considerations in multicast algorithm design usually focus issues of mobile receivers while few researches emphasize on mobile multicast sources issues. However, mobility of source is a critical issue causing global tree disruption. Furthermore, major research challenges in the delivery...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2015
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/49913/ http://irep.iium.edu.my/49913/ http://irep.iium.edu.my/49913/ http://irep.iium.edu.my/49913/1/49913.pdf http://irep.iium.edu.my/49913/4/49913_Optimized_routing_algorithm_for_mobile_SCOPUS.pdf |
| Summary: | Mobility considerations in multicast algorithm design
usually focus issues of mobile receivers while few researches
emphasize on mobile multicast sources issues. However, mobility of
source is a critical issue causing global tree disruption. Furthermore,
major research challenges in the delivery of group applications over
Wireless Mesh Networks (WMN) comprise delivery of large volume
data, incurring large bandwidth and delay. This is in addition to
multicast source mobility issues and interfering nature of scarce
wireless resources. Mobile multicast scenarios emerge in group-based
distribution of information such as obtains in the health sector,
disaster recovery operation, remote bus, train control and video
surveillance. The mobile multicast problem in this paper is
formulated as a bandwidth and delay constrained minimum tree cost
problem which is proved to be computationally intensive. Thus this
paper proposes a Differential Evolution based optimized mobile
multicast routing algorithm for the shared tree architecture. The
proposed algorithm is implemented using MATLAB and the
evaluation considers analytic and simulation techniques for
convergence, scalability and multicast tree stability under source
movement. Simulation results show that the proposed algorithm
converges and outperforms a source based tree algorithm.
|
|---|