Mobile ad hoc networks consisting
of mobile hosts that communicate via wireless radio channels are being
increasingly used for local area networks, law enforcement, military
operations and myriad of other applications. Most of these applications, if
not all, involves sending messages from one host (source) to a specified group
of hosts and there can be a large number of such groups in the network for
diverse kinds of applications. Multi-cast involves sending messages to a
restricted group of processes and forms the basis for efficient implementation
of group based applications on a distributed system. Many protocols for
efficiently performing multi-cast in static networks are available while at
this time, a number of critical technical issues in designing such protocols
for ad hoc networks remain unresolved, including elegant solutions to issues
of power limitations and high speed data, effective methods of assurance for
losslessness of the messages during transition period due to host mobility and
the ability to contain the effect of any topology change locally. In mobile ad
hoc networks the topology of the network changes with node movements,
variations in the radio propagation conditions, and depletion of battery power
of the nodes. The rate of topological changes can be different at different
times, as well as in different regions of the network.
The network can
experience frequent network partitioning and may require reconfiguration of
the partitioned subnetworks. The proposed research will take a combined
theoretical and experimental approach and will apply this to emerging
distributed applications. In this proposal the researchers with combined
expertise in the fields of group based communications in networks and
stabilization of protocols in asynchronous distributed computing systems are
proposing an innovative integrated research project in fault-tolerant
multi-cast protocol design for mobile ad hoc networks. The proposed design
intends to demonstrate a variety of impressive benefits including: (1) The
protocol will support mixed traffic of variable rates with the ability to
adapt fast with ease to sudden changes in traffic via a dynamic link cost
estimator (that depends on channel bandwidth, quality-of-service (QoS) to the
applications, battery power of the hosts, etc.) (2) The protocol is
self-stabilizing in that any topological change due to mobility of nodes will
trigger the protocol and the optimal multicast tree will be for the new
topology and quickly reconstructed. (3) The self-stabilizing protocols are
augmented with features that guarantees that the service remains available
while the multi-cast tree is being adapted to the new topology (i.e.,
multicast messages present in the system during the recovery period are not
lost). (4) The self-stabilization features of the protocol are triggered in a
controlled manner so as to not overwhelm the system in presence of high
mobility by using efficient fault-containment strategies. (5) The research
intends to develop a new execution model for the self-stabilizing algorithms
in a distributed system based on the real-life conditions of an ad hoc network
as opposed to the traditional adversarial oracle model for such algorithms.
The researchers expect that this will lead to the use of the concept of
self-stabilization to solving other real life problems involving recovery from
a transient behavior. Efficient solutions for performing multi-casting in
mobile ad hoc networks with the above benefits will rely on what support
underlying data link layer can provide and how the network layer multi-cast
protocol can exploit these facilities to intelligently control the overheads
while providing desirable QoS. This proposal will take a synergistic approach
in designing the multi-cast protocols so as to make them compatible with the
underlying networking layers. The developed protocols will be extensively
evaluated through simulation. Further a prototype protocol stack will be
implemented on the top of IEEE 802.11 MAC layer to evaluate the improvement in
QoS to distributed media distribution and collaboration
applications.
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Last updated: March 5, 2004