Sylvia Ratnasamy, Scott Shenker, Brad Karp, Ramesh Govindan, Deborah Estrin, Li Yin and Fang Yu ICSI/UCB/USC/UCLA. Data-Centric Storage in Sensornets with GHT, A Geographic Hash Table. Outline. Background Existing Schemes Data-Centric Storage Conclusion. Background. Sensornet
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Sylvia Ratnasamy, Scott Shenker,
Brad Karp, Ramesh Govindan, Deborah Estrin,
Li Yin and Fang Yu
♦ A distributed sensing network comprised of a large number of small sensing devices equipped with
• processor • memory • radio
♦ Great volume of data
Data Dissemination Algorithm
♦ Energy efficient
♦ Low-level output from sensors
♦ E.g. detailed temperature and pressure readings
♦ Constellations of low-level observations
♦ E.g. elephant-sighting, fire, intruder
♦ Used to elicit the event information from sensornets
♦ E.g. locations of fires in the network
Images of intruders detected
External Storage (ES)
Local Storage (LS)
Data-Centric Storage (DCS)
Events are named with keys
DCS provides (key, value) pair
DCS supports two operations:
♦ Put (k, v)stores v ( the observed data ) according to the key k, the name of the data
♦ Get (k)retrieves whatever value is stored associated with key k
♦ Hash a key k into geographic coordinates
♦ Put() and Get() operations on the same key k hash k to the same location
♦ Total Messages
• total packets sent in the sensor network
♦ Hotspot Messages
• maximal number of packets sent by any particular node
Assume ♦ n is the number of nodes
♦ Asymptotic costs of O(n) for floods
O(n 1/2) for point-to-point routing
Cost for Storage
Cost for Query
Cost for Response
Dtotal, the total number of events detected
Q , the number of event types queries for
Dq, the number of detected events of event types
No more than one query for each event type, so there are Q queries in total.
Assume hotspot occurs on packets sending to the access point.
DCS is preferable if
♦ Peer-to-peer Lookup Systems
♦ Greedy Perimeter Stateless Routing
Greedy forwarding algorithm
Perimeter forwarding algorithm
that encloses the
Not robust enough
♦ Nodes could move (new home node?)
♦ Home nodes could fail
♦ Home nodes could become communication bottleneck
♦ Storage capacity of home nodes
Perimeter Refresh Protocol
♦ Extension for robustness
♦ Handles nodes failure and topology change
♦ Extension for scalability
♦ Load balance
PRP stores a copy of a key-value pair at each node on the home perimeter.
PRP generates refresh packets periodically.
Use a hierarchical decomposition of the key space.
For a given root r and a given hierarchy depth d, one can compute 4d-1 mirror images of r
N, the number of nodes in the system
T, the number of event types, T = 100
Q, the number of event types queried for
Di, the number of detected events of event type i. Di = 100
Three version of DCS
Normal DCS (N-DCS): a query returns a separate message for each detected event
Summarized DCS (S-DCS): A query returns a single message regardless of the number of detected events
Structured Replication DCS (SR-DCS)
Test 1: Varying Q
Test 1: Varying Q
Test 2: Varying n
Test 2: Varying n
In DCS, relevant data are stored by name at nodes within the sensornets.
To ensure robustness and scalability, DCS uses Perimeter Refresh Protocol (PRP) and Structured Replication (SR).
Compared with ES and LS, DCS is preferable in large sensornet.
GHT requires approximate knowledge of a sensornet's boundaries
Only supports binary events, not range queries.