90,219 research outputs found
Broadcast Strategies with Probabilistic Delivery Guarantee in Multi-Channel Multi-Interface Wireless Mesh Networks
Multi-channel multi-interface Wireless Mesh Networks permit to spread the
load across orthogonal channels to improve network capacity. Although broadcast
is vital for many layer-3 protocols, proposals for taking advantage of multiple
channels mostly focus on unicast transmissions. In this paper, we propose
broadcast algorithms that fit any channel and interface assignment strategy.
They guarantee that a broadcast packet is delivered with a minimum probability
to all neighbors. Our simulations show that the proposed algorithms efficiently
limit the overhead
Cross-Layer Optimization in OFDM Wireless Communication Network
The wide use of OFDM systems in multiuser environments to overcome problem of communication
over the wireless channel has gained prominence in recent years. Cross-layer Optimization technique
is aimed to further improve the efficiency of this network. This chapter demonstrates that significant
improvements in data traffic parameters can be achieved by applying cross-layer optimization tech-
niques to packet switched wireless networks. This work compares the system capacity, delay time and
data throughput of QoS traffic in a multiuser OFDM system using two algorithms. The first algorithm,
Maximum Weighted Capacity, uses a cross-layer design to share resources and schedule traffic to users
on the network, while the other algorithm (Maximum Capacity) simply allocates resources based only
on the users channel quality. The results of the research shows that the delay time and data throughput
of the Maximum Weighted Capacity algorithm in cross layer OFDM system is much better than that of
the Maximum Capacity in simply based users channel quality system. The cost incurred for this gain is
the increased complexity of the Maximum Weighted Capacity scheme
Optimal transport on wireless networks
We present a study of the application of a variant of a recently introduced
heuristic algorithm for the optimization of transport routes on complex
networks to the problem of finding the optimal routes of communication between
nodes on wireless networks. Our algorithm iteratively balances network traffic
by minimizing the maximum node betweenness on the network. The variant we
consider specifically accounts for the broadcast restrictions imposed by
wireless communication by using a different betweenness measure. We compare the
performance of our algorithm to two other known algorithms and find that our
algorithm achieves the highest transport capacity both for minimum node degree
geometric networks, which are directed geometric networks that model wireless
communication networks, and for configuration model networks that are
uncorrelated scale-free networks.Comment: 5 pages, 4 figure
Scheduling algorithms in broadband wireless networks
Scheduling algorithms that support quality of service (QoS) differentiation and guarantees for wireless data networks are crucial to the development of broadband wireless networks. Wireless communication poses special problems that do not exist in wireline networks, such as time-varying channel capacity and location-dependent errors. Although many mature scheduling algorithms are available for wireline networks, they are not directly applicable in wireless networks because of these special problems. This paper provides a comprehensive and in-depth survey on recent research in wireless scheduling. The problems and difficulties in wireless scheduling are discussed. Various representative algorithms are examined. Their themes of thoughts and pros and cons are compared and analyzed. At the end of the paper, some open questions and future research directions are addressed.published_or_final_versio
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