GREEN ROUTING IN WIRELESS SENSOR NETWORK Nandkumar Kulkarni - - PowerPoint PPT Presentation

green routing in wireless sensor network
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GREEN ROUTING IN WIRELESS SENSOR NETWORK Nandkumar Kulkarni - - PowerPoint PPT Presentation

GREEN ROUTING IN WIRELESS SENSOR NETWORK Nandkumar Kulkarni npk@es.aau.dk 27/02/2010 Supervisors Supervisor Prof. Ramjee Prasad CTiF, AAU, Denmark Co-Supervisor Co-Supervisor Assoc. Prof. Horia Cornean Prof. Mrs. Nisha Gupta AAU,


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GREEN ROUTING IN WIRELESS SENSOR NETWORK

Nandkumar Kulkarni npk@es.aau.dk 27/02/2010

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Supervisor

  • Prof. Ramjee Prasad

CTiF, AAU, Denmark Co-Supervisor

  • Assoc. Prof. Horia Cornean

AAU, Denmark Co-Supervisor

  • Prof. Mrs. Nisha Gupta

BIT, Mesra, Ranchi, India

Supervisors

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Outline

 Background  Routing challenges and design issues  Routing Protocols in WSNs  Research Goal  Milestones  Questions

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Background

 Sensor Node Components

  • Sensor Unit
  • Radio Unit,
  • processing Unit
  • Battery Unit.

 Sources of Energy Consumption

  • Communications (Transmitting & Receiving)
  • Computations
  • Sensing

 space and cost constraints  Not feasible to recharge or change batteries on a regular

basis

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Routing Challenges and Design Issues

 Network dynamics

  • Mobile nodes
  • Mobile events – static / dynamic

 Node deployment

  • Manual deployment
  • Random deployment

 Energy Consideration

  • Direct Routing
  • Multihop Routing

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Routing Challenges and Design Issues

(contd…)

 Fault tolerance

  • Failure of sensor

 Node Capabilities

  • Homogenous / Heterogeneous Sensor Nodes

 Data Delivery Model

  • Continuous
  • Event driven
  • Query driven
  • Hybrid

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Routing Protocols in WSNs

 Data Centric  Hierarchical  Location-based

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Routing Protocols in WSNs (contd..)

Routing Protocols Classification Power Usage Data Aggregation Scala bility Query Based Over head Data delivery model SPIN Data-centric Ltd. Yes Ltd Yes Low Event driven DD Data-centric Ltd Yes Ltd Yes Low Demand driven RR Data-centric Low Yes Good Yes Low Demand driven GBR Data-centric Low Yes Ltd Yes Low Hybrid ACQUIRE Data-centric Low Yes Ltd Yes Low Complex query LEACH Hierarchical High Yes Good No High Event driven TEEN & APTEEN Hierarchical High Yes Good No High Event driven PEGASIS Hierarchical Max No Good No Low Event driven GAF Location Ltd No Good No Mod Demand driven GEAR Location Ltd No Ltd No Mod Demand driven

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House of IoT

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Research Goal

 The research goal is

  • To develop fault tolerant , energy efficient, multihop

routing strategy for Quasi Random deployment of the sensor nodes to transfer sensor data for the purpose

  • f maximizing the lifetime of WSNs.
  • Framework will be designed for integrating WSN into

the “Internet of Things”, where sensor nodes join the Internet dynamically, and use it to collaborate and accomplish their tasks.

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Milestones

 Design of the framework  Implementation  Simulation  Performance Analysis and Optimization

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Questions?

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