1,351 research outputs found
Cognitive Connectivity Resilience in Multi-layer Remotely Deployed Mobile Internet of Things
Enabling the Internet of things in remote areas without traditional
communication infrastructure requires a multi-layer network architecture. The
devices in the overlay network are required to provide coverage to the underlay
devices as well as to remain connected to other overlay devices. The
coordination, planning, and design of such two-layer heterogeneous networks is
an important problem to address. Moreover, the mobility of the nodes and their
vulnerability to adversaries pose new challenges to the connectivity. For
instance, the connectivity of devices can be affected by changes in the
network, e.g., the mobility of the underlay devices or the unavailability of
overlay devices due to failure or adversarial attacks. To this end, this work
proposes a feedback based adaptive, self-configurable, and resilient framework
for the overlay network that cognitively adapts to the changes in the network
to provide reliable connectivity between spatially dispersed smart devices. Our
results show that if sufficient overlay devices are available, the framework
leads to a connected configuration that ensures a high coverage of the mobile
underlay network. Moreover, the framework can actively reconfigure itself in
the event of varying levels of device failure.Comment: To appear in IEEE Global Communications Conference (Globecom 2017
On Mass-Spring System Implementation in Cluster-Based MANETs for Natural Disaster Applications
Communication after natural disasters is paramount.Disasters such as earthquakes, hurricanes and tsunamis leavethe affected area reachable only to wireless devices. In suchconditions, Mobile Ad-hoc Networks (MANETs) play a criticalrole. The issue of MANETs communication backbone can beaddressed by self-organized cluster-based algorithms. The vir-tual backbone will maintain an efficient communication on theMANET, adapting to the dynamic topology changes thanks toits self-organized nature. Nevertheless, they do not take intoaccount the node’s mobility. If a node moves away from itsneighboring nodes, connectivity will be lost and thus, networksegmentation will occur. Therefore, it is fundamental to maintainthe connectivity and the communication between nodes whileexploring the area. In this paper, we propose the applicationof a mass-spring system on the Energy-Efficient Self-OrganizedAlgorithm (EESOA) for Disaster Area applications. Results willshow that our proposal performs best when deployment ofMANET’s nodes is dense while maintaining a connected network.ITESO, A.C
HIRO-NET.Heterogeneous intelligent robotic network for internet sharing in disaster scenarios
This article describes HIRO-NET, an Heterogeneous Intelligent
Robotic Network. HIRO-NET is an emergency infrastructure-less
network that aims to address the problem of providing connectivity in
the immediate aftermath of a natural disaster, where no cellular or
wide area network is operational and no Internet access is available.
HIRO-NET establishes a two-tier wireless mesh network where the
Lower Tier connects nearby survivors in a self-organized mesh via
Bluetooth Low Energy (BLE) and the Upper Tier creates long-range
VHF links between autonomous robots exploring the disaster stricken
area. HIRO-NET’s main goal is to enable users in the disaster area to
exchange text messages to share critical information and request help
from first responders. The mesh network discovery problem is analyzed
and a network protocol specifically designed to facilitate the exploration
process is presented. We show how HIRO-NET robots successfully
discover, bridge and interconnect local mesh networks. Results show
that the Lower Tier always reaches network convergence and the Upper
Tier can virtually extend HIRO-NET functionalities to the range of a
small metropolitan area. In the event of an Internet connection still being
available to some user, HIRO-NET is able to opportunistically share and
provide access to low data-rate services (e.g., Twitter, Gmail) to the
whole network. Results suggest that a temporary emergency network
to cover a metropolitan area can be created in tens of minutes.
Inde
Communication and Control in Collaborative UAVs: Recent Advances and Future Trends
The recent progress in unmanned aerial vehicles (UAV) technology has
significantly advanced UAV-based applications for military, civil, and
commercial domains. Nevertheless, the challenges of establishing high-speed
communication links, flexible control strategies, and developing efficient
collaborative decision-making algorithms for a swarm of UAVs limit their
autonomy, robustness, and reliability. Thus, a growing focus has been witnessed
on collaborative communication to allow a swarm of UAVs to coordinate and
communicate autonomously for the cooperative completion of tasks in a short
time with improved efficiency and reliability. This work presents a
comprehensive review of collaborative communication in a multi-UAV system. We
thoroughly discuss the characteristics of intelligent UAVs and their
communication and control requirements for autonomous collaboration and
coordination. Moreover, we review various UAV collaboration tasks, summarize
the applications of UAV swarm networks for dense urban environments and present
the use case scenarios to highlight the current developments of UAV-based
applications in various domains. Finally, we identify several exciting future
research direction that needs attention for advancing the research in
collaborative UAVs
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