In contrast,
distributed approaches use fairness or incentive policies to resolve resource allocation
issues in a scalable manner [28]-[31]. For instance, in [28], a new solution to the problem
of engineering non-monetary incentives for edge based wireless access services was
proposed which offers both higher throughput for bursty data and more stable allocation for
real-time applications.
In our recent work, we consider the benefits of dynamic resource and information
exchanges among multiple wireless users [39] when provisioning paths (and allocating
Cross-layer Optimized Video Streaming over Wireless Multi-hop Mesh Networks
125
resources) for different users??™ video flows. Additionally, in [32], we explore a multi-user
dynamic, decentralized (i.e., at each network node), route adaptation scheme that is driven
by localized network information within each node??™s information horizon.
In this chapter, we also assumed that the delay and resource overheads associated
with information feedback over different length horizons are negligible. These overheads,
however, can have significant impact on delay-sensitive multimedia applications. To
enable efficient distributed multi-user video streaming over a wireless multi-hop
infrastructure, nodes need to collect and disseminate timely network information based on
which the various nodes can collaboratively adapt their cross-layer transmission strategies.
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