Cross Layer MMRE AOMDV Model for Multimedia Transmission in Wireless Sensor Networks
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The proposed algorithm has to run in the sink node which is
assumed to have large computational power and no energy
constraint. A source node will broadcast a Route Request Packet
(RREQ) packet to its neighbor nodes when it requires
establishing one session to as in k node. Whenever an
intermediate node, receives the RREQpacket, the node
appends its remaining battery energy, l i n k g a i n ( g j ),
n o d e i d a n d a v e r a g e n o i s e p o w e r ( n j ) a n d
n u m b e r o f p a c k e t s i n t h e i m a g e ( m ) to this
RREQpacket. On receiving the RREQpackets, on the
multiple paths the sink node finds all the node disjoint paths
which satisfy the quality constraints. For nodes belonging to
each path which meets the quality constraint the sink also finds the optimal powers so as to minimize the total energy of
the path. Intuitively we can conclude that the path with
minimal total energy consumption is the winner. This may be
true if we assume that initial battery energy of the nodes is the
same. If we assume that initial energies of all the nodes are
different, it is required to improve the lifetimes of the nodes
with least residual energy. Usually these will be the nodes
very close to sink, since these nodes are used by most of the
traffic in the network. To improve the lifetime of the network
we have to improve the lifetime of the nodes with minimal
residual energy.
I have over 15 years of experience in Wireless communication, having worked for Nokia, Intel, NXP, etc. I have extensive experience in designing and writing code for algorithms as mentioned in the description.
I have worked on energy efficient routing in wireless sensor networks. I have published several papers on lifetime maximization issues. Please check my profile on Google Scholar. (My full name is Jalal Habibi).