Multi-hop Hybrid Cooperative Geographic Routing Algorithm with Outage-probability-constrained

ZHANG Song; MA Linhua; RU Le; ZHANG Haiwei; TANG Hong; HU Xing

doi:10.11999/JEIT150487

Volume 38 Issue 2

Feb. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(2): 332-339

ZHANG Song, MA Linhua, RU Le, ZHANG Haiwei, TANG Hong, HU Xing. Multi-hop Hybrid Cooperative Geographic Routing Algorithm with Outage-probability-constrained[J]. Journal of Electronics & Information Technology, 2016, 38(2): 332-339. doi: 10.11999/JEIT150487

Citation:

ZHANG Song, MA Linhua, RU Le, ZHANG Haiwei, TANG Hong, HU Xing. Multi-hop Hybrid Cooperative Geographic Routing Algorithm with Outage-probability-constrained[J]. Journal of Electronics & Information Technology, 2016, 38(2): 332-339. doi: 10.11999/JEIT150487

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Multi-hop Hybrid Cooperative Geographic Routing Algorithm with Outage-probability-constrained

doi: 10.11999/JEIT150487

1.
(Institute of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi&rsquo
2.
(State Key Laboratory of Astronautics Dynamics, Xi&rsquo

Funds:

The National Natural Science Foundation of China (61372167), National Aerospace Science Foundation of China (20130596008)

Received Date: 2015-04-29
Rev Recd Date: 2015-10-13
Publish Date: 2016-02-19

Abstract

Abstract

A Multi-hop Hybrid Cooperative Geographic Routing (MHCGR) algorithm with outage-probability- constrained is proposed to reduce the path length for routing in wireless sensor networks. The cooperative links using different cooperative strategies are analyzed. With theoretical analysis, the decode-amplify-and-forward hybrid cooperative strategy can further expand the transmission distance. The ideal maximum cooperative transmission distance and the location of ideal relay node are proved for per-hop cooperative transmission link. Based on the BeaconLess Geographic Routing (BLGR) algorithm, the MHCGR algorithm uses the location information of nodes to select the optimum relay node and optimum forward node for each hop. Then MHCGR algorithm forms the cooperative route from the source node to destination node by mentioned cooperative strategy. Simulation results show that, compared with the ENBGCR algorithm and the MPCR algorithm using DF strategy, the MHCGR algorithm can reduce the number of routing hop, and reduce the overall transmission power routing.
- Wireless sensor networks,
- Path length,
- Cooperative routing,
- Cooperative transmission distance,
- Location information

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References(17)

References

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