Wireless Sensor Network Cluster Formation at the Presence of a Wireless Mesh Network
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1 Wireless Sensor Network Cluster Formation at the Presence of a Wireless Mesh Network Pantelis Angelidis UOWM/ICTE, Ass. Prof. MIT ML, Visiting Scholar
2 CLAP: Cross-Layer Protocols for Phealth CLAP deals with monitoring quality of life related parameters. We look at different aspects of community data (e.g. environmental or human) capturing, interpreting and communicating to the outer world, in settings where there is better connectivity among group members than to a core network, such as may be found in OLPC deployment scenarios. An MIT Media Lab VIDAVO joint research initiative funded by the EC
3 Assumptions Technology Poor Environment Limited Health and Care Resources Active Networked Community
4 Operation Framework Four interacting clouds: A. Wireless sensor network: data collector B. Store & forward network: data aggregator C. Communication network: data transfer D. Processing network: information extractor The term network is used loosely
5 Taking advantage of Cloud B Ethernet Access Point Data Server s MWN (EDCA Based) PAN (Resource Resvation Based, GTS) sensor Mesh node sensor Coordinator Dual Interface sensor Sink node sensor
6 Proposed Protocol CNFP: Clustering Network Formation Protocol (1/3) Phase 1: <kick-off> Phase 2: <one node phase> Phase 3: <structuring> Phase 4: <steady state> Motes self-organized or pre-programmed. Sinks are preselected depending on geography (i.e. likelihood of node appearance), sensing parameters, storage capacity or arbitrarily. A node in proximity advertises its presence; being the only node it serves also as the network coordinator and the gateway; if no B-C link exists information is stored in this node temporarily. As other nodes enter, motes reorganize themselves depending on the identity information advertised by the node; nodes self-organize to decide on clusters, gateways and storage As more nodes appear the conditions for the motes become more favorable. Multihop link distances are reduced. The network reaches maturity conditions. Preselected mote sinks are relaxed to accommodate power usage and extend life time.
7 Proposed Protocol CNFP: Clustering Network Formation Protocol (2/3)
8 CNFP (3/3) Before After
9 Simulation Results CNFP: Clustering Network Formation Protocol (1/2)
10 Motes Hops Simulation Results CNFP: Clustering Network Formation Protocol (2/2) sec sec Number of Hop 0 motes (lower) and maximum number of hops (upper) for nodes moving through the Cloud A area (averages of 250 repetitions). Cases of one (diamonds), two (squares) and three (dots) moving Cloud B nodes.
11 Discussion CNFP: Clustering Network Formation Protocol We define presence as a new way of routing. Presence information identifies a mote in terms of its participation in a route (tree) in a sensor network. Our solution focuses on exploiting the collaboration of the two networks, achieving lower network formation traffic. In the simplified case, where enough nodes exist to cover the network area of Cloud A fully, i.e. so as all motes become hop 0 motes, then our protocol operates as a static LEACH network, which is known to have superior energy savings compared to other existing WSN MAC approaches.
12 Results: Community Health Record the majority of health related events occur in the community without any contact with the health system It is crucial that quality of life related indicators at the community level are captured to be used for consultation, decision making, planning and policy formulation.
13 Results: improved connectivity among community members creating an unprecedented quality of life momentum
14 more More on CLAP: More on PHR: More on VIDAVO:
15 More questions? Thank you very much
CLAP: Cross-Layer Protocols for Phealth Pantelis Angelidis 1,2 1 MIT Media Lab 2 University of W. Macedonia, Greece
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