Economic Issues within Mobile Ad Hoc Metropolitan Networks - PowerPoint PPT Presentation

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Economic Issues within Mobile Ad Hoc Metropolitan Networks

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Title: Modelling Incentives for Collaboration in MANETs Author: Sven Ostring Last modified by: Sven string Created Date: 2/4/2003 8:56:20 PM Document presentation ... – PowerPoint PPT presentation

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Title: Economic Issues within Mobile Ad Hoc Metropolitan Networks


1
Economic Issues withinMobile Ad HocMetropolitan
Networks
  • Sven Östring

MobileMAN Project
Computer Laboratory
2
Rewarding Cooperation
  • Investigated a method of providing incentives for
    cooperation in mobile ad hoc networks

Bandwidth Price Power Price

Hop cost
Credit Balance ? Transmission Rate
3
Price Update Algorithms
  • Each node measures its total traffic load and
    power consumption
  • Prices are adapted as follows
  • Bandwidth Price
  • Power Price

4
Credit Balance
  • Provide incentives for users to forward traffic
  • Users receive credit for forwarding traffic
  • Amount of credit received is dependent on the
    node prices and the magnitude of the flow.
  • Users receive an initial credit balance of 1
  • Willingness-to-pay is proportional to Bs
  • Update algorithm

5
Random Static Network
6
Static Nodes Power Prices
  • Power prices are strongly dependent on location
  • N8 has the highest power price
  • It is often used by other nodes to forward
    traffic
  • Its location requires higher energy to transmit
    to neighbouring nodes.
  • N1 has very low power price.

7
Path of Mobile Node
8
Mobility Node Power Prices
  • Power price of N1 increases as it moves towards
    the centre of the network
  • Routes are increasingly chosen with N1 as a
    forwarding node
  • Power price of N8 decreases
  • N1 provides competition for N8
  • Less energy is required to transmit to N1 as it
    moves closer.

9
Total Network Throughput
  • Total network throughput increases
  • Increased throughput for N1 has not been at the
    expense of the overall network throughput
  • Mobility (in an appropriate direction) has
    increased the performance of the system
  • Total Credit in system is constant.

10
The Issue of Interference
  • Wireless links are affected by interference
  • Interference from entirely separate traffic flows
    can result in packets not being transmitted
    successfully
  • Packets must be re-transmitted
  • Reduce the network throughput
  • Our model used a basic capacity constraint
  • Extend to include a realistic interference model
  • Mechanism for pricing the effect of interference

11
Signal-to-Inference Ratio
  • Conventional Approach
  • Vasilios Siris Resource control in CDMA networks
  • Peter Marbach Bandwidth allocation in Ad-hoc
    networks
  • SIR maps to the probability that
  • a packet is successfully received
  • Throughput

12
Clique Prices Concept
  • Paper by Xue, Li and Nahrstedt
  • A wireless ad hoc network is mapped onto a
    wireless link contention graph
  • Optimality, fairness, convergence

q2
q1
6
23
62
45
q3
5
1
2
3
4
47
7
34
12
78
8
13
Clique Prices Algorithms
  • Price of a flow
  • Sum of clique prices for all the links
  • Per-clique price calculation
  • Standard price adaptation algorithms
  • Centralised (within the clique)
  • Per-node price calculation
  • Connectivity information is shared amongst
    neighbours
  • Individual nodes determine cliques that a flow
    traverses and calculates clique prices

14
Parameter Selection
  • Kappa
  • Gain parameter used in update algorithms
  • Much studied in rate control algorithms
  • Beta
  • Adjusts total credit, so that it correctly tracks
    number of users in the network
  • Used to replenish credit to nodes whose income is
    below average
  • Investigate the choice of beta on the throughput
    of edge nodes

15
Adapting Routing Algorithms
  • Extending DSR
  • Use pricing information to determine optimal
    routes
  • Piggy-back pricing information in ROUTE REPLY
  • Probing of routes for pricing information
  • DSR caches as many segments of routes as possible
  • Timeouts for pricing information associated with
    routes in cache
  • Extending AODV
  • Piggy-back pricing information in ROUTE REPLY
    messages
  • Need method of probing for cheaper routes

16
Economics of Ad Hoc Gaming
  • Relevant application for two groups
  • Students
  • Elderly folk
  • Similarities
  • Credit Balance (Remaining Life)
  • Dynamic membership
  • Sharing resources / Impact of other players
  • Research in network gaming can feed back into our
    model
  • Player durations are exponentially distributed
  • Distribution of interarrival times is
    heavy-tailed
  • Decision to join is dependent on number of
    players
  • Pricing multicast communications in ad hoc
    networks

17
Conclusions Further Work
  • Described our model of incentives
  • Investigating approaches of addressing
    interference
  • Parameter selection
  • Developing adaptive routing protocols
  • Including pricing information
  • Investigate the performance through simulations
  • Gaming Applications
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