7,046 research outputs found
Latency Optimal Broadcasting in Noisy Wireless Mesh Networks
In this paper, we adopt a new noisy wireless network model introduced very
recently by Censor-Hillel et al. in [ACM PODC 2017, CHHZ17]. More specifically,
for a given noise parameter any sender has a probability of
of transmitting noise or any receiver of a single transmission in its
neighborhood has a probability of receiving noise.
In this paper, we first propose a new asymptotically latency-optimal
approximation algorithm (under faultless model) that can complete
single-message broadcasting task in time units/rounds in any
WMN of size and diameter . We then show this diameter-linear
broadcasting algorithm remains robust under the noisy wireless network model
and also improves the currently best known result in CHHZ17 by a
factor.
In this paper, we also further extend our robust single-message broadcasting
algorithm to multi-message broadcasting scenario and show it can broadcast
messages in time rounds. This new robust
multi-message broadcasting scheme is not only asymptotically optimal but also
answers affirmatively the problem left open in CHHZ17 on the existence of an
algorithm that is robust to sender and receiver faults and can broadcast
messages in time rounds.Comment: arXiv admin note: text overlap with arXiv:1705.07369 by other author
Toward Reliable Contention-aware Data Dissemination in Multi-hop Cognitive Radio Ad Hoc Networks
This paper introduces a new channel selection strategy for reliable
contentionaware data dissemination in multi-hop cognitive radio network. The
key challenge here is to select channels providing a good tradeoff between
connectivity and contention. In other words, channels with good opportunities
for communication due to (1) low primary radio nodes (PRs) activities, and (2)
limited contention of cognitive ratio nodes (CRs) acceding that channel, have
to be selected. Thus, by dynamically exploring residual resources on channels
and by monitoring the number of CRs on a particular channel, SURF allows
building a connected network with limited contention where reliable
communication can take place. Through simulations, we study the performance of
SURF when compared with three other related approaches. Simulation results
confirm that our approach is effective in selecting the best channels for
efficient and reliable multi-hop data dissemination
Intelligent spectrum management techniques for wireless cognitive radio networks
PhD ThesisThis thesis addresses many of the unique spectrum management chal-
lenges in CR networks for the rst time. These challenges have a vital
e ect on the network performance and are particularly di cult to solve
due to the unique characteristics of CR networks. Speci cally, this thesis
proposes and investigates three intelligent spectrum management tech-
niques for CR networks. The issues investigated in this thesis have a
fundamental impact on the establishment, functionality and security of
CR networks.
First, an intelligent primary receiver-aware message exchange protocol
for CR ad hoc networks is proposed. It considers the problem of alleviat-
ing the interference collision risk to primary user communication, explic-
itly to protect primary receivers that are not detected during spectrum
sensing. The proposed protocol achieves a higher measure of safeguard-
ing. A practical scenario is considered where no global network topology
is known and no common control channel is assumed to exist.
Second, a novel CR broadcast protocol (CRBP) to reliably disseminate
the broadcast messages to all or most of the possible CR nodes in the
network is proposed. The CRBP formulates the broadcast problem as a
bipartite-graph problem. Thus, CRBP achieves a signi cant successful
delivery ratio by connecting di erent local topologies, which is a unique
feature in CR ad hoc networks.
Finally, a new defence strategy to defend against spectrum sensing data
falsi cation attacks in CR networks is proposed. In order to identify
malicious users, the proposed scheme performs multiple veri cations of
sensory data with the assistance of trusted nodes.Higher Committee For Education Devel-
opment in Iraq (HCED-Iraq
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