localization and clustering in scalable wsn
TRANSCRIPT
8/3/2019 Localization and Clustering in Scalable WSN
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Localization and
Clustering in scalableWSNEnvironmental Monitoring network with mobile nodes
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Federated
Secure SensorNetwork
(currently in
development by
Cambridge
university) [1]
With FRESNEL they aim tobuild a large scale federated
sensor network framework
with multiple applications
sharing the same resources.
They want to guarantee a
reliable intra-applicationcommunication as well as a
scalable and distributed
management infrastructure.
Orthogonally, privacy and
application security should
also be maintained.
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A
Survey of Mobile Phone
Sensing
[2]
Presents of a survey done in the
field of using mobile phone as a
monitoring system.
He believes that sensor equipped
mobile phones will revolutionize
many sectors of our economy,
including business, healthcare,
social networks, environmental
monitoring, and transportation.
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A Biologically
Inspired
Networking
Model
for Wireless
Sensor
Networks [3]
proposes an energy-efficient topology
management model inspired by
biological intercell signalling schemes,
which allows sensor nodes to form
clusters around imminent targets in a
purely distributed and autonomous
fashion. In particular, nodes in the target
vicinity collaborate to form a cluster
according to their relative observation
quality values, based on a bioinspired
lateral induction process
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Federated
Secure Sensor
Network(currently in
development by
Cambridge
university)
A Survey of
Mobile Phone
Sensing[1]
A Biologically
Inspired
Networking
Model
for Wireless
Sensor
Networks [3]
Mobile Sensor
network using
wearable sensor
(we are here)
8/3/2019 Localization and Clustering in Scalable WSN
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Mobile Sensor
network using
wearable sensor
?Health care
[5]
Crowd
management
[4]
Possible applications
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What will we do?
Suggest (and implement) a protocol that
guarantee localization and clustering asnodes moves.
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Clusters are changing as nodes move
depending on the event to be detected
and the available no. of nodes
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Where is novelty?
Most paper suggests protocols for
fixed nodes with/without mobile anchors
We will propose the situation with are
mobile nodes with/without fixed anchors.
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How do we know that no one
did it before? I have checked libraries, journals, websites ,
Current papers [6,7,8 ]suggest developing their
algorithms to incorporate mobile nodes as future
works.
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What will we not do?
We will not address the heterogeneity in
nodes platform (assume all nodes are of
the same type)
We will not address software application
that needed to interface different nodes
(No cloud computing)
However data management (collecting) will
be carried out.
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How will we do it?
Through simulation
MATLAB : will be used though it is not the best
for network simulation, but fast result could be
verify the system feasibility
Through implementation
Microcontroller currently available in the
school labs will be adequate platform todevelop
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What results are expected?
Ability of a WSN with mobile nodes to collect
data from some environment and deliver it to a
base station as soon as possible.
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How do we validate results?
We will Compare results with anotherWSN involve fixed nodes (considered as
the optimum state).
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Where to start?
Three recent PhD theses (across British universities)that are deal with localization and clustering areselected.
1. Author [6] develops a protocol for EnergyOptimization Algorithm for mobile Wireless SensorNetworks
2. Author [7] develops An adaptive clustering
protocol.
3. Author [8] explores the deployment of WirelessSensor Networks (WSNs) on localised maritimeevents.
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References
1. http://www.cl.cam.ac.uk/research/srg/netos/fresnel
2. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, "A survey of mobile phone sensing," IEEE CommunicationsMagazine, vol. 48, pp. 140-150, 2010.
3. C. Charalambous and C. Shuguang, "A biologically inspired networking model forwireless sensor networks,"Network, IEEE, vol. 24, pp. 6-13, 2010.
4. E. T.-H. Chu, Y.-L. Chen, J. W. S. Liu and J. K. Zao Strategies for Crowdsourcing forDisaster Situation Information, WIT Transactions on the Built Environment 119, pp.
257-269.5. An agent-based signal processing in-node environment for real-time human activity
monitoring based on wireless body sensor networks
6. M., Al-Obaidi, ENAMS: Energy Optimization Algorithm for Mobile Wireless SensorNetworks using Evolutionary Computation and Swarm Intelligence, PhD thesis DeMontfort University, September 2010
7. F., Bajaber, Performance Analysis of Cluster Based Communication Protocols forEnergy Efficient Wireless Sensor Networks , PhD thesis, School of Computing,
InformaticsandM
edia, University of B
radford, 20108. P., Barbosa, Scalable Wireless Sensor Networks for Dynamic Communication
Environments: Simulation and Modelling, PhD thesis, School of Electronics andComputer Science, UNIVERSITY OF SOUTHAMPTON, 2011.
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