G remit an algorithm for building energy efficient multicast trees in wireless ad hoc networks
This presentation is the property of its rightful owner.
Sponsored Links
1 / 25

G-REMiT: An Algorithm for Building Energy Efficient Multicast Trees in Wireless Ad Hoc Networks PowerPoint PPT Presentation


  • 52 Views
  • Uploaded on
  • Presentation posted in: General

G-REMiT: An Algorithm for Building Energy Efficient Multicast Trees in Wireless Ad Hoc Networks. Bin Wang and Sandeep K. S. Gupta Computer Science and Engineering Department Arizona State University Tempe, AZ, USA {Bin.Wang,[email protected] Outline. Problem Statement Challenges

Download Presentation

G-REMiT: An Algorithm for Building Energy Efficient Multicast Trees in Wireless Ad Hoc Networks

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


G remit an algorithm for building energy efficient multicast trees in wireless ad hoc networks

G-REMiT: An Algorithm for Building Energy Efficient Multicast Trees in Wireless Ad Hoc Networks

Bin Wang and Sandeep K. S. Gupta

Computer Science and Engineering Department

Arizona State University

Tempe, AZ, USA

{Bin.Wang,[email protected]


Outline

Outline

  • Problem Statement

  • Challenges

  • Background and Related Work

  • System Model & Assumptions

  • Node’s Energy Consumption Metric

  • G-REMiT Algorithm & Performance Results

  • Conclusions


Problem statement

Problem Statement

  • Given a set of nodes with

    • wireless transceiver and

    • power control ability

  • Find

    • a group-shared multicast tree such that the total energy consumption of all the nodes is minimized


Difference of wired wireless network

Difference of Wired & Wireless Network

Wired Network Graph

Wireless Network Graph


Challenges

Challenges

  • Transmission Power determines

    • The total amount of energy consumed on the link

    • Feasible of the link

    • Network topology


Background and current state of art

Background and Current State of Art

  • Multicasting

    • What is?

      • Allow one entity to communicate efficiently with multiple entities residing in a subset of the nodes in the network

    • Why multi-destination delivery in a single message?

      • Transparency; Efficiency; Concurrency

    • Applications (e.g, distributed database, distributed games, teleconferencing)


Background and current state of art1

Background and Current State of Art

Wireless Multicast Advantage


Background and current state of art2

Background and Current State of Art

  • Building energy-efficient broadcast/ multicast tree

    • Optimal solution is NP-hard problem [Li LCN2001], heuristic algorithm is needed

    • Distributed Solution vs. Centralized Solution

      • High overhead to obtain global knowledge

      • Dynamic of wireless link and data traffic


Background and current state of art3

Background and Current State of Art

  • Current heuristic algorithms for building energy efficient broadcast/multicast tree

    • Minimize cost metric increment for adding a node in the source-based tree.

      • Using cost metric with energy cost (BIP/MIP, BLU/MLU, BLiMST/MLiMST [Wieselthier Infocom2000]); Dist-BIP-A, Dist-BIP-G [Wieselthier Milcom2002]

    • Refine a minimum spanning tree (MST) by cover as more downstream node as possible in source-based tree

      • EWMA, Dist-EWMA [Cagalj Mobicom2002]


System model assumptions

System Model & Assumptions

  • Static Wireless Ad hoc Network

  • Each node knows the distance between itself and its neighbor nodes

  • Every node knows the number of nodes in the multicast group

  • Group message generation rate (in term of bit/s) at every node follow Poisson distribution. And all of these message generation rates are independent random variables


Wireless communication model

where is energy cost of transmission processing, is Euclidean distance between i and j,  is propagation loss exponent, K is a constant dependent upon the antenna.

Wireless Communication Model

  • The minimum power needed for link between nodes i and j for a packet transmission is:

  • For short range radio,

[Feeney Infocom2001]

So is not negligible


Node s energy consumption in different multicast sessions

Node’s Energy consumption in different multicast sessions


A group shared tree example

A Group-shared Tree Example


Node s energy cost metric in group shared tree

Node’s energy cost metric in Group-shared Tree)

  • Energy consumed at node i is

  • If we introduce , then

  • Node’s Relative Energy Cost Metric


G remit algorithm

G-REMiT Algorithm

  • Idea: a node changes its connected tree neighbor to minimize the total energy consumption of tree.


Example of refinement at a node for minimizing energy consumption of the tree

has the largest positive value. So node 2 select node 6 as its new connection tree neighbor. And make .

Example of Refinement at a node for minimizing energy consumption of the Tree


Tree s energy consumption oscillation avoidance

R10 may be affected by , because

may be changed.

Tree’s Energy Consumption Oscillation Avoidance

  • Lemma 1 : Nodes that are on tree pathj,i are the only nodes in the multicast tree that may be affected by Changeix,j


Disconnection refinement

Disconnection Refinement

  • Lemma 2: If i is not on tree pathj,x the tree remains connected after Changeix,j


G remit algorithm description

G-REMiT Algorithm Description

  • Two phases (Core-Based Tree)

    • First Phase: using distributed algorithm to build MST [Gallager TPLS1983].

    • Second Phase: organized by rounds. Each round is leaded by the core node. It terminates G-REMiT algorithm where there is no gains by switching any node in the multicast tree.

      • In each round, a depth-first search algorithm is used to pass G-REMiT token to the nodes one by one.


Second phase of g remit

Second Phase of G-REMiT


Performance results

Performance Results

Normalized TPC when 50% nodes are multicast group nodes


Performance results cont

Performance Results (Cont.)

Normalized TPC for a graph with 100 nodes


Conclusions

Conclusions

  • Energy consumption metric for evaluating energy-efficiency of multicast protocol in WANET

  • G-REMiT is a distributed algorithm to construct an energy-efficient multicast tree.

  • G-REMiT Perform better than BIP/MIP Dist-BIP-G, and Dist-BIP-A algorithms for long range radios.

  • All of the algorithms have similar performance for short range radios.


Future work

Future Work

  • Energy efficient multicast in mobile ad hoc network

  • Multicast tree lifetime extension

  • Other schemes for energy efficient multicast of short range radios

    • Directional antenna

    • Scheduling sleep mode among the nodes


Reference

Reference

[1] J.E. Wieselthier, G.D. Nguyen, and A. Ephremides. On the construction of energy-efficient broadcast and multicast tree in wireless networks. In Proceedings of the IEEE INFOCOM 2000, pages 585–594, Tel Aviv, ISRAEL, March 2000.

[2] J. E. Wieselthier, G. D. Nguyen, and A. Ephremides, Distributed algorithms for energy-efficient broadcasting in ad hoc networks, Proceedings of MilCom, Anaheim, CA, Oct. 2002.

[3] M. Cagalj, J.P. Hubaux, and C. Enz. Minimum-energy broadcast in All-wireless networks: NP-completeness and distribution issues. In Proceedings of ACM MobiCom 2002, pages 172 – 182,Atlanta, Georgia, September 2002.

[4] F. Li and I. Nikolaidis. On minimum-energy broadcasting in all-wireless networks. In Proceedings of the 26th Annual IEEE Conference on Local Computer Networks (LCN 2001), pages 193–202, Tampa, Florida, November 2001.

[5] R.G. Gallager, P. A. Humblet, and P. M. Spira. A distributed algorithm for minimum weight spanning trees. ACM Transactions on Programming Languages and Systems, 5(1):66–77, January 1983.

[6] L. M. Feeney and M. Nilsson. Investigating the energy consumption of a wireless network interface in an ad hoc networking environment. In Proceedings of IEEE INFOCOM, Anchorage, pages 1548 –1557, AK, April 2001.


  • Login