AMSN

Adversarial Models in Sensor Networks

 Coordinatore UNIVERSIDAD REY JUAN CARLOS 

 Organization address address: CALLE TULIPAN S/N
city: MOSTOLES (MADRID)
postcode: 28933

contact info
Titolo: Dr.
Nome: Antonio
Cognome: Fernandez
Email: send email
Telefono: -4887111

 Nazionalità Coordinatore Spain [ES]
 Totale costo 75˙000 €
 EC contributo 75˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2007-4-3-IRG
 Funding Scheme MC-IRG
 Anno di inizio 2007
 Periodo (anno-mese-giorno) 2007-09-01   -   2010-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSIDAD REY JUAN CARLOS

 Organization address address: CALLE TULIPAN S/N
city: MOSTOLES (MADRID)
postcode: 28933

contact info
Titolo: Dr.
Nome: Antonio
Cognome: Fernandez
Email: send email
Telefono: -4887111

ES (MOSTOLES (MADRID)) coordinator 0.00

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candidate    packet    group    transmissions    adversarial    sensing    form    bounds    model    communication    basic    empirical    questions    networks    scheduling    nodes    weak    radio    models    monitoring    network    routing    sensor    deterministic   

 Obiettivo del progetto (Objective)

'Sensor nodes are very weak computers that get distributed at random on a surface. Once deployed, they must wake up and form a Radio Network called a Sensor Network. Although Sensor Networks is a very active research area, most of this work is either empirical or includes unreallistic assumptions regarding the capabilities of the sensor nodes. Hence, there are still many open basic questions. A Sensor Network is a good example of an emergent communication system, i.e. a communication system where a consistent global behaviour has to be reached without the use of a centralized controller. In a context where messages between sensor nodes are exchanged by means of packet forwarding, a suitable model for adversarial packet arrival in Sensor Networks is the Continuous AQT model since each pair of nodes communicates at different speeds. We propose to study various open problems in Sensor Networks under adversarial models. Among other important problems, we propose to study: Routing and scheduling in the CAQT model, Deterministic transmissions under adversarial behavior, Routing in the Weak Sensor Model, Improve the bounds for the Clear Transmission and Group Therapy problems in Sensor Networks, Non-uniform Sensor Network initialization, Improve the bounds for the broadcast and wakeup problems in radio networks. If the grant is awarded, the candidate will conduct the proposed lines of research, in collaboration with the rest of the research group. Additionally, he will participate in the thesis direction of some of the group members. The candidate is also planning to apply for additional research grants to national and international institutions.'

Introduzione (Teaser)

Sensor networks have a wide range of useful applications, but they have not been properly put through their paces in various adversarial conditions.

Descrizione progetto (Article)

Rapid advances in computer technology, including miniaturisation and cost reductions, have enabled the integration of sensing, processing and communication capabilities into low-cost devices known as sensor nodes. These can be linked up wirelessly to form sensor networks with a wide range of useful applications where sensing or measuring physical variables over large areas is needed. Examples include environmental or weather monitoring, disaster response and monitoring the health of infrastructure, machines and industrial equipment.

Despite the undoubted usefulness of sensor networks, most research has focused on empirical issues, leaving some fundamental questions unanswered. For instance, what are the constraints imposed on these decentralised networks by the basic limitations of the individual nodes, such as memory size, life cycle and communication range, especially in the tough and adversarial conditions in which these networks often operate?

The EU-funded 'Adversarial models in sensor networks' (AMSN) project studied a number of issues including deterministic transmissions, efficiency bounds, and routing and scheduling.

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