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EnergySaving Conflict Resolution in Wireless AdHoc Networks

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Title: EnergySaving Conflict Resolution in Wireless AdHoc Networks


1
Energy-Saving Conflict Resolution in Wireless
Ad-Hoc Networks
Yalin Evren Sagduyu / Anthony Ephremides
  • Objective, Motivation and Approach
  • Objective Analysis of collision resolution
    (CR) problem
  • for wireless networks from energy-efficiency
    perspective
  • Starting Point Collision resolution in
    energy-limited
  • access for single-cell uplink channel with
    uniformly
  • distributed energy levels.
  • Motivation Scheduling of packet
    retransmissions
  • according to residual energy levels of
    corresponding nodes
  • limits the contention for low-energy nodes
  • enables more efficient use of level skipping and
    tree
  • pruning methods
  • reduces the energy consumption due to
    unsuccessful
  • retransmission of backlogged nodes.
  • Simulation Environment
  • Independent Poisson Packet Arrivals
  • Mobile Nodes with Omni-directional Antennas
  • Uniformly Distributed Initial Energy Levels
  • Uniformly Located Nodes on Square Unit Area

Hybrid REBS/FCFS Method REBS for
Unbacklogged Case
Cumulative Packet Volume for REBS,
First-Come-First-Served (FCFS) and Random
Splitting (RS) Algorithms Classical
Collision Channel Physical
Model
time(slots)
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  • Unlimited (or Renewable) Energy for Physical
    Model
  • Perfect distance and channel estimation
    assumed
  • Transmission power is adjusted to minimum
    value to exceed SINR requirement if no
    interference
  • Distance-Based tree-splitting (DBS) CRA
    Packets that arrived at nodes with distance (to
    their intended receiver) between r (k) and r (k)
    ? (k) are transmitted in kth slot.
  •  
  • Details of the Residual-Energy-Based Tree
    Splitting
  • (REBS) Collision Resolution Algorithm
  • At kth time slot, the algorithm specifies the
    packets to be transmitted as the set of packets
    that arrived to nodes with residual energy of
    (T(k) - ?(k) , T(k).
  • Algorithm determines parameters T(k), ?(k) and
    status
  • ? (k) R or L (right or left branch on the tree)
    in terms of feedback, T (k-1), ?(k-1) and ?
    (k-1).

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time(slots)
  • Multi-Hop Wireless Ad-Hoc Network with Uniform
    Initial Energy Distribution
  • Equal Initial Energy Case (for Collision Channel)
  • Performance of REBS algorithm is poor.
  • Instead use a Dynamic Hybrid CR method
  • Employ quaternary tree splitting jointly using
    time and energy windows with gradual changes
    implemented as functions of system energy
  • Start with a very small ?0 for energy window
    (i.e. we start with a FCFS-like algorithm)
  • Gradually increase ?0 in energy window to Emax
  • Gradually decrease number that divides temporal
    allocation interval from 2 to 1 (i.e. we
    eventually end up with REBS-like algorithm)
  • 10 mobile transmitter-
  • receiver nodes each with
  • single transceiver
  • Distributed Bellman-Ford routing algorithm with
  • energy-efficient link metric
  • Two-node based CR tree decoupling method is
    used
  • Single-Cell System Model
  • One receiver and multiple transmitters
  • Independent Poisson packet arrivals
  • Fixed packet transmission power
  • Error-free ternary feedback (idle, success,
    collision)
  • Packet Collision Models
  • Collision Channel idle, success and collision
    refer to
  • 0, 1 or more than one packet are transmitted
  • SNR-based physical model node i successfully
    transmits to node j if

time(slots)
The material presented in this poster is based
on the paper Energy-Efficient Collision
Resolution in Wireless Ad-Hoc Networks, Yalin
Evren Sagduyu, Anthony Ephremides, to appear in
the proceedings of INFOCOM 2003.
Pi Transmission power of node i ?
Path loss coefficient ri,j Distance between
nodes i and j N Ambient noise power r0
Antenna far-field region radius
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