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Protocols for SelfOrganization of a Wireless Sensor Network

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Title: Protocols for SelfOrganization of a Wireless Sensor Network


1
Protocols for Self-Organization of a Wireless
Sensor Network
  • Written By
  • Katayoun Sohrabi, Jay Gao, Vishal Ailawadhi, and
  • Gregory J. Pottie, UCLA
  • Presented By
  • Joe Zendejas

2
General Operational Requirements
  • Wireless ad hoc networks that can connect
  • Embedded sensors Actuators - Processors
  • Form multihop networks with broadcast and
    multicast operation modes
  • Development of algorithms with
  • Scalable large number of mainly static nodes
  • High constrained energy resources
  • Maintain a network, with high routing efficiency
  • Robust unattended operation at Startup, Steady
    state, and Failure scenarios

3
Wireless Sensor Node
4
Wireless Sensor Networks are a New Family of
Networks
  • Mobile ad hoc networks (MANET)
  • Peer to peer network / 10s-100s nodes / Range lt
    100s m / replaceable battery
  • Cellular networks
  • Vast network of stationary and mobile nodes
  • Provide high QoS BW / unlimited power
  • Short range wireless local area networks
  • All nodes are connected to a master / 10m range
  • Sensor networks
  • 100s 1000s of nodes / Prolong network lifetime

5
Various Wireless Networks
Mobile node
Wireless link
Mobile cluster head
Wireless link
Wired link
Base station
Mobile user
Base station
Wireless link
Mobile sensor
6
Energy-Conserving Techniques in Sensor Networks
  • Energy consumption occurs in
  • Sensing / Data processing / Communications
  • Communications is the major energy consumer
  • Ex. Radio Transmission Vs. Data Processing
  • Therefore, local processing is key

7
Our Developed Protocols
  • Self-Organization Medium Access Control for
    Sensor Networks (SMACS)
  • Network startup and link layer
  • Eavesdrop-And-Register (EAR) Algorithm
  • Seamless interconnection of mobile nodes in the
    field of stationary wireless nodes (mobility
    management)
  • Sequential Assignment Routing (SAR)
  • Facilitates multihop routing
  • Single Winner Election (SWE) and Multi-Winner
    Election (MWE)
  • Facilitates local cooperative information
    processing

8
Link-Layer Issues
  • Link layer topology and regulation of channel
    access among the nodes
  • Channel contention Vs. time/freq/code domains
  • Description of the stationary MAC and Startup
    Procedure (organized scheme)
  • 1st attempts to determine network radio
    connectivity, 2nd assign collision free channels
    to links

9
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10
Mobile MAC Issues
  • The Ear algorithms motivation
  • Offers continuous service to mobile nodes in
    either mobile or stationary constraints
  • Network constraints
  • EAR algorithm
  • Broadcast Invite (BI)
  • The stationary node invites other nodes to join.
  • Mobile Invite (MI)
  • The mobile responds to BI to request a
    connection.
  • Mobile Response (MR)
  • The stationary node accepts the MI response.
  • Mobile Disconnect (MD)
  • The mobile informs the stationary node of a
    disconnect no response is needed.

11
General Mobile Activity
Stationary not in registry
Stationary neighbor, Possible future
connection
Mobile
BI message
Stationary connection
12
Adaptive Local Routing for Cooperative Signal
Processing
  • Routing of networks refers specifically to a
    connection set of sensors that detected a common
    target
  • Noncoherent cooperative function
  • Processing network formation process
  • P1 Target detection, data collection,
    preprocessing
  • P2 Membership declaration
  • P3 Central node (CN) election (SWE or MWE)
  • Coherent cooperative function

13
Single Winner Election (SWE) Process
14
Simulation Implementation
  • A radio propagation model complete with shadowing
    and path loss was implemented in Parsec
  • Network of 45 randomly scattered nodes having a
    density of 0.04 nodes/m2
  • 1mW transmit power, Tframe 8.0s
  • 100 frequency bands are available

15
Conclusion Critique
  • Algorithms with the ability to maintain
    connectivity to a wireless sensor network
  • Great energy conservation schemes and network
    scalability
  • Exploitation of low mobility and abundant
    bandwidth
  • Evaluation with assumption that a greater amount
    of nodes were static.
  • No evaluation with specific energy capacities
  • Distribution/Management of TDMA freq. slots
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