Data Dissemination in Sensor Networks - PowerPoint PPT Presentation

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Data Dissemination in Sensor Networks

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Reinforcement. Data Driven Rules for deciding which node(s) to reinforce ... Extreme Reactivity and Negative Reinforcements. Directed Diffusion Explained. In Essence ... – PowerPoint PPT presentation

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Title: Data Dissemination in Sensor Networks


1
  • Data Dissemination in Sensor Networks
  • Challenges and Solutions
  • by
  • Sovrin Tolia

2
Presentation Outline
  • Overview of Sensor Networks
  • Directed Diffusion, A Scalable and Robust
    Communication Paradigm for Sensor Networks
  • SPIN, Adaptive Protocols for Information
    Dissemination in Wireless Sensor Networks

3
Research Efforts
  • Directed Diffusion
  • USC/ISI Institute
  • Deborah Estrin, Ramesh Govindan et al
  • SPIN Protocols
  • MIT
  • Balakrishnan, Joanna Kulik et al

4
Challenges in Sensor Networks
  • Sheer Numbers
  • Unattended deployment
  • Device failures
  • Frequent Change
  • Heterogenity of Tasks

5
Sensor Nodes
  • Capability of Sensor Nodes
  • Distributed Microsensing
  • Sensor Networks are task specific
  • Autonomous Operation

6
Sensor Network Applications
  • Monitoring Remote Geographic Locations and
    terrains
  • Toxic Urban Locations
  • Less Accessible environments like large
    Industrial Plants and Aircraft Interiors

7
Directed Diffusion
  • Motivated by Scalability, Energy Efficiency and
    and robustness
  • Data Centric
  • Application Aware
  • Energy Efficient
  • Remote Surveillance Sensor Network

8
Directed Diffusion
  • Naming

9
Directed Diffusion
  • Interests and Gradients
  • Sink Nodes
  • Periodic Broadcasts
  • Interest Cache in every node (distinct
    interests)
  • Two Way Gradient established
  • Generalized Interest Propagation means

10
Directed Diffusion
  • Data Propagation
  • location satisfied, finds Interest Match from
    cache
  • computes the highest data rate in gradients
    present in the interest cache
  • Intermediate Node base their decision based on
    Data cache
  • Downconversion

11
Directed Diffusion
  • Reinforcement
  • Data Driven Rules for deciding which node(s) to
    reinforce
  • Explicitly send a high data rate Interest
    message
  • What do the neighboring nodes do
  • Extreme Reactivity and Negative Reinforcements

12
Directed Diffusion Explained
13
In Essence
  • No mention of target detection algos
  • The usage is not restricted to interests-gradients
    -drawing data.
  • All Communication uses interests to specify named
    data
  • Neighbor-Neighbor (Not End-to-End)
  • No routers, governed by task specificity
  • No Need for globally unique identifiers

14
Is It Routing ?
  • Kind of Reactive, Routes on Demand
  • No Attempt to find one loop free route
  • Constrained Flooding is used
  • Message Cache is used to avoid loops
  • They did carry out some preliminary results

15
Future Research here
  • Target Detection Algorithm
  • Simulate Congestion in the network
  • Experiment the non-aggressive reinforcement
    strategy and less conservative negative
    reinforcements
  • Sensor Networks are at a stage where Internet was
    three decades ago

16
SPIN, Sensor Protocols for Information via
Negotiation
  • Overcomes Implosion, Overlap and Resource
    Blindness in conventional approaches
  • Advocates Negotiation and Resource-adaptation

17
SPIN
  • Naming Using Meta Data
  • SPIN Messages
  • ADV,REQ,DATA
  • Resource Management
  • Implementation
  • 3-stage handshake
  • Participation only when it can complete all the
    three stages

18
SPIN Working
19
SPIN Architecture
20
Performance
  • Compared against flooding, gossiping and ideal
    protocol
  • Metric is amount of data disseminated over time
    and energy consumed
  • SPIN-1 higher throughput than gossip but same as
    flooding, less energy usage
  • SPIN-2 ideal amount of data per unit energy

21
Food for Thought
  • If Ad-hoc networks are not yet a reality, can we
    ever expect Sensor Networks to be deployed
  • Are they really required ?
  • ANY QUESTIONS
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