1 / 16

Multicast ad hoc networks

Multicast ad hoc networks. Multicast in ad hoc nets Review of Multicasting in wired networks Tree based wireless multicast Mesh based wireless multicast – ODMRP Performance comparison Scalable multicast M-LANMAR Backbone Reliable, congestion controlled multicast

alexander-mooney
Download Presentation

Multicast 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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Multicast ad hoc networks • Multicast in ad hoc nets • Review of Multicasting in wired networks • Tree based wireless multicast • Mesh based wireless multicast – ODMRP • Performance comparison • Scalable multicast • M-LANMAR • Backbone • Reliable, congestion controlled multicast • RALM, RALM with M-LANMAR

  2. Logical Subnet Landmark LANMAR • Each team is mapped into a logical subnet • IP-like Node address = <subnet, host> • Address compatible with IPv6 • Team leader (Landmark) elected in each group • Key insight: nodes move in teams/swarms

  3. Scalable Ad hoc multicasting • Multicast (ie, transmit same message to all member of a group) critical in battlefield • “Multiple unicast” does not scale • Current ad hoc multicast solutions:inappropriate • They do not exploit affinity team model • multicast tree approach is “fragile” to mobility; • no congestion control; no reliable end to end delivery • Proposed approach: • TEAM Multicast

  4. Team Multicasting Swarm Leader swarm UAVs: - equipped with video, chemical sensors - read data from ground sensors - “fuse” sensor data inputs - multicast fused data to other teams Command post

  5. Multicast example Attack! Attack! Attack! Attack! Command Post Attack! All Task Force Nodes

  6. Two-tier team multicast: Multicast-Enabled Landmark (M-LANMAR) • Extension of LANMAR enabling multicast • Inter-team communication: unicasttunneling from the source to the representative of each subscribed team • Intra-team communication: scoped flooding within a team

  7. Scope = 2 Flooding Tunneling to landmarks Scope = 2 Flooding M-LANMAR LM2 LM3 Subscribed Teams Source node LM4

  8. Advantages of M-LANMAR • Reduced control traffic overhead • Scalable to thousands of nodes • Enhanced Congestion control and Reliability (because of TCP control on unicast tunnels)

  9. M-LANMAR multicast

  10. Scalability • Objective: test M-LANMAR scalability • Compared with • ODMRP • Flooding • Simulation Environment • QualNet • 1000 nodes forming 36 teams on 6000 x 6000 m2 field • CBR traffic (512 bytes/packet, 1packet/sec)

  11. Simulation Results • As the number of multicast groups increases • M-LANMAR achieves high delivery ratio (by unicast tunneling and flooding) • ODMRP suffers from large control overhead and collisions

  12. Multiple Unicast v.s. Mesh Structure source • Builds a mesh between landmarks • Load Balancing • Better Reliability landmark

  13. dst src Enhanced Scalability with a Mobile Backbone • Multicast across Large systems of swarms does not scale well • excessive protocol overhead • Long paths break • Swarms separate • Enter Mobile Backbone!

  14. Simulation study - swarm motion • Implemented in QualNet 3.6 • Total 300 nodes over a 5000 x 5000 field: • 20 candidate backbone nodes • 14 swarms, 20 ground nodes in each swarm • Traffic generated from single source to 30 receivers across different groups • Bandwidth Allocation - • backbone/ground: 1Mbps • flat network: 2Mbps Mobile backbone significantly improves delivery in swarm/group motion

  15. Simulation study - random roaming • Random distribution of 500 nodes on a 5000x5000 field • Nodes move randomly • Ground network is dense and connected • Single multicast group: one source, 30 receivers • Bandwidth Allocation - • backbone/ground:1Mbs • flat network: 2Mbps Backbone network improvements for random motion even higher than with swarms

  16. Conclusions and Future Work • M-LANMAR is a scalable multicast protocol designed for large ad-hoc networks with affinity team model • Backbone Enhanced multicast: • Backbone + ODMRP achieves better scalability than flat ODMRP (delivery ratio increases up to 50%) • Related work • Coexistence of LANMAR and Backbone • Impact of mobility (random, team, etc) • Mobility and traffic correlation • Delay tolerant appls; “data ferrying”

More Related