FemtoNode: Reconfigurable and Customizable Architecture for Wireless Sensor Networks

Allgayer, Rodrigo; Götz, Marcelo; Pereira, Carlos Eduardo

doi:10.1007/978-3-642-04284-3_28

Cited by 4 publications

(2 citation statements)

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“…Reconfiguring the sensor network hardware at runtime to adapt external dynamics is also becoming another approach eg. FemtoNode [9]. Therefore, the operating systems of such devices support network reprogramming eg.…”

Section: Introductionmentioning

confidence: 98%

Indirect Reference: Reconfiguring Distributed Sensors and Actuators

Rashid

Broxvall

2010

2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing

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Many sensor networks have lately included actuation as an important property of the nodes. With the introduction of actuation, new requirements are posed on these nodes in terms of reconfiguration of collaboration patterns. The sensors/actuators are very often connected to various heterogeneous hardware that have a few KBs of memory, low processing power and communication range, such as WSN motes. Also, for many applications networks of small and simple sensor and actuator nodes need to cooperate with networked robotic devices, which leads to further requirements to enable collaboration between devices of different scales. In this networked robot and sensor/actuator infrastructure, tasks are performed by the cooperation of multiple devices. Dynamically changing availability of devices as well as changes of tasks lead to a need of reconfiguration of the devices at runtime. Therefore a mechanism should be available in the communication level, which affords reconfiguration ability to the sensor/actuator nodes as well as robots. In this article, a concept called indirect reference is proposed, which facilitates dynamic reconfiguration of sets of distributed devices. We describe here also an implementation of the concept on a ubiquitous robotic middleware, which offers seamless integration of robots and WSN motes like tiny embedded devices with an example.

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Section: Introductionmentioning

confidence: 98%

Indirect Reference: Reconfiguring Distributed Sensors and Actuators

Rashid

Broxvall

2010

2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing

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“…This paper presents a flexible and adaptable platform infrastructure intended to support heterogeneous sensor network applications composed by static sensor nodes on the ground and mobile sensors carried by autonomous aerial robotic platforms, such as autonomous UAVs. It is based on the proposal of (i) a flexible middleware [3] and, (ii) on a customizable hardware architecture aimed for sensor nodes, called FemtoNode [4]. The key idea is to use this customizable platform to deploy different kinds of sensor nodes, from very tiny and resource constrained up to more sophisticated ones.…”

Section: Introductionmentioning

confidence: 99%

Coordinating Aerial Robots and Unattended Ground Sensors for Intelligent Surveillance Systems

Freitas

Heimfarth

Allgayer

et al. 2010

INT J COMPUT COMMUN

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Abstract:Sensor networks are being used to implement different types of sophisticated emerging applications, such as those aimed at supporting ambient intelligence and surveillance systems. This usage is enhanced by employing sensors with different characteristics in terms of sensing, computing and mobility capabilities, working cooperatively in the network. However, the design and deployment of these heterogeneous systems present several issues that have to be handled in order to meet the user expectations. The main problems are related to the nodes' interoperability and the overall resource allocation, both inter and intra nodes. The first problem requires a common platform that abstracts the nodes' heterogeneity and provides a smooth communication, while the second is handled by cooperation mechanisms supported by the platform. Moreover, as the nodes are supposed to be heterogeneous, a customizable platform is required to support both resource rich and poorer nodes. This paper analyses surveillance systems based on a heterogeneous sensor network, which is composed by lowend ground sensor nodes and autonomous aerial robots, i.e. Unmanned Aerial Vehicles (UAVs), carrying different kinds of sensors. The approach proposed in this work tackles the two above mentioned problems by using a customizable hardware platform and a middleware to support interoperability. Experimental results are also provided.

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