61,805 research outputs found
PhyNetLab: An IoT-Based Warehouse Testbed
Future warehouses will be made of modular embedded entities with
communication ability and energy aware operation attached to the traditional
materials handling and warehousing objects. This advancement is mainly to
fulfill the flexibility and scalability needs of the emerging warehouses.
However, it leads to a new layer of complexity during development and
evaluation of such systems due to the multidisciplinarity in logistics,
embedded systems, and wireless communications. Although each discipline
provides theoretical approaches and simulations for these tasks, many issues
are often discovered in a real deployment of the full system. In this paper we
introduce PhyNetLab as a real scale warehouse testbed made of cyber physical
objects (PhyNodes) developed for this type of application. The presented
platform provides a possibility to check the industrial requirement of an
IoT-based warehouse in addition to the typical wireless sensor networks tests.
We describe the hardware and software components of the nodes in addition to
the overall structure of the testbed. Finally, we will demonstrate the
advantages of the testbed by evaluating the performance of the ETSI compliant
radio channel access procedure for an IoT warehouse
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Distributed agent-based building evacuation simulator
The optimisation of the evacuation of a building plays a fundamental role in emergency situations. The behaviour of individuals, the directions that civilians receive, and the actions of the emergency personnel, will affect the success of the operation. We describe a simulation system that represents the individual, intelligent, and interacting agents that cooperate and compete while evacuating the building. The system also takes into account detailed information about the building and the sensory capabilities that it may contain. Since the level of detail represented in such a simulation can lead to computational needs that grow at least as a polynomial function of the number of the simulated agents, we propose an agent-oriented Distributed Building Evacuation Simulator (DBES). The DBES is integrated with a wireless sensor network which offers a closed loop representation of the evacuation procedure, including the sensed data and the emergency decision making
On-site forest fire smoke detection by low-power autonomous vision sensor
Early detection plays a crucial role to prevent forest fires from spreading. Wireless vision sensor
networks deployed throughout high-risk areas can perform fine-grained surveillance and thereby
very early detection and precise location of forest fires. One of the fundamental requirements that
need to be met at the network nodes is reliable low-power on-site image processing. It greatly
simplifies the communication infrastructure of the network as only alarm signals instead of
complete images are transmitted, anticipating thus a very competitive cost. As a first
approximation to fulfill such a requirement, this paper reports the results achieved from field tests
carried out in collaboration with the Andalusian Fire-Fighting Service (INFOCA). Two controlled
burns of forest debris were realized (www.youtube.com/user/vmoteProject). Smoke was
successfully detected on-site by the EyeRISTM v1.2, a general-purpose autonomous vision system,
built by AnaFocus Ltd., in which a vision algorithm was programmed. No false alarm was
triggered despite the significant motion other than smoke present in the scene. Finally, as a further
step, we describe the preliminary laboratory results obtained from a prototype vision chip which
implements, at very low energy cost, some image processing primitives oriented to environmental
monitoring.Ministerio de Ciencia e Innovación 2006-TIC-2352, TEC2009-1181
Self-synchronized duty-cycling for sensor networks with energy harvesting capabilities: Implementation in Wiselib
In this work we present a protocol for a self- synchronized duty-cycling mechanism in wireless sensor net- works with energy harvesting capabilities. The protocol is im- plemented in Wiselib, a library of generic algorithms for sensor networks. Simulations are conducted with the sensor network simulator Shawn. They are based on the specifications of real hardware known as iSense sensor nodes. The experimental results show that the proposed mechanism is able to adapt to changing energy availabilities. Moreover, it is shown that the system is very robust against packet loss.Postprint (published version
Resilient networking in wireless sensor networks
This report deals with security in wireless sensor networks (WSNs),
especially in network layer. Multiple secure routing protocols have been
proposed in the literature. However, they often use the cryptography to secure
routing functionalities. The cryptography alone is not enough to defend against
multiple attacks due to the node compromise. Therefore, we need more
algorithmic solutions. In this report, we focus on the behavior of routing
protocols to determine which properties make them more resilient to attacks.
Our aim is to find some answers to the following questions. Are there any
existing protocols, not designed initially for security, but which already
contain some inherently resilient properties against attacks under which some
portion of the network nodes is compromised? If yes, which specific behaviors
are making these protocols more resilient? We propose in this report an
overview of security strategies for WSNs in general, including existing attacks
and defensive measures. In this report we focus at the network layer in
particular, and an analysis of the behavior of four particular routing
protocols is provided to determine their inherent resiliency to insider
attacks. The protocols considered are: Dynamic Source Routing (DSR),
Gradient-Based Routing (GBR), Greedy Forwarding (GF) and Random Walk Routing
(RWR)
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