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A Reliability-oriented Transmission Service in Wireless Sensor Networks Yunhuai Liu, Yanmin Zhu and Lionel Ni Computer Science and Engineering Hong Kong University of Science and Technology {yunhuai, zhuym, ni}l@cse.ust.hk Speaker: Peixin Wang
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Motivation Related Work and challenges Existing routing techniques and their drawbacks In-middle Recovery and Proliferation Routing design Analysis of Proliferation Routing Performance Evaluation Conclusion
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Motivation Reliable transmission service is in dire need for many applications in wireless sensor networks (WSNs). However,Most existing routing protocols seriously suffer from low end-to-end success rates in real deployments which may lead to great loss.
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Related Work and challenges Two categories: Packet-loss avoidance,Packet-loss recovery Packet-loss avoidance: select more productive forwarding nodes ( no guarantee of the service quality ) or by multi-path transmissions ( no recovery mechanisms ) Packet-loss recovery: recover the packet loss when it happens. Existing recovery can be classified as end-to-end recovery (big latency and large energy cost)and per-hop recovery(no guaranteed service quality).
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Related Work and challenges The first challenge is the long transmission paths in large-scale WSNs. The second challenge is the self-congestion phenomena due to the radio interference and collisions. The third challenge is the bad link propagation problem due to the unreliable links.
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Existing routing techniques and their drawbacks Flooding-like routing (Impact of network density and environment) Packet-loss avoidance approaches by multi-path in essential share a common idea of restricted flooding in a particular region. They have a similar behavior in the context of the one dimensional network. Drawbacks :the radio interference and packet congestions with the increasing nodes
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Existing routing techniques and their drawbacks (Impact of routing metrics) MCFN-like routing: a representative of hop-count based routing algorithms using single path to transmit GPSR-like routing: also employs single data path. But geographic information is used instead of the hop count. Drawbacks: Experimental results (not shown in the paper) show that MCFN-like routing presents poor success rate no matter how many intermediate nodes are deployed.
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In-middle Recovery and Proliferation Routing design The basic idea of In-middle Recovery is that packet-loss is detected and recovered in a several-hop manner rather than per-hop or end-to-end.(fill the gap between the traditional per-hop recovery and end-to-end recovery mechanisms) Advantages : 1.Packet-loss due to congestions will not be further degraded by the per-hop recovery. 2.A level of end-to-end transmission service quality can be guaranteed when transmissions are monitored and recovered in a larger scale than per-hop. 3.In-middle recovery is able to offer a great potential of compatibility and flexibility.
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In-middle Recovery and Proliferation Routing design The core idea of proliferation routing is randomized dispersity of packet copies combined with a reproduction procedure. Three components: Capability-based path finder to find more productive data paths for seeds; Seed splitter to disperse the seeds over the network so that congestions and radio interferences can be reduced; Seed reproduction to compensate packet-loss during transmissions.
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In-middle Recovery and Proliferation Routing design Capability-based path finder The idea is that every node maintains a capability value that reflects the estimated transmission success rate from the node to the sink by a single path. Beacon messages are exchanged between neighboring nodes to calculate the link quality. This process repeats and propagates until every node obtains its capability.
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In-middle Recovery and Proliferation Routing design Multiple seeds with seeds splitter The major difference: the trails of seeds are designed to be disjoint The travel of a seed has two phases: the randomized dispersity phase and the deterministic phase. The advantages : 1.congestions and radio interferences can be mitigated 2. high dynamic wireless links are alleviated 3. hot-spot problem can be avoided
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In-middle Recovery and Proliferation Routing design Seed reproduction Besides the original data source, intermediate forwarding nodes are also allowed to reproduce seeds.
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In-middle Recovery and Proliferation Routing design
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Analysis of Proliferation Routing Three key parameters: reproduction coefficient,, random walk steps w, seed lifetime r.
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Reproduction coefficient
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Random walk steps w
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Seed lifetime r
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Performance Evaluation Experimental results :set the control parameters =3, w=4 and r=8 as suggested in the last section, no reproduction due to the space limitation
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Simulation results
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Conclusion This paper proposed a novel in-middle recovery mechanism by designing and implementing proliferation routing scheme. Carefully designed system parameters grant designers more freedom to provide a guaranteed level of end-to-end transmission service quality Analysis and experiment results show that the success rate can be maintained to up 80% with a moderate communication overhead.
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