基于中断概率的多跳混合协作地理路由算法

张嵩; 马林华; 茹乐; 张海威; 唐红; 胡星

doi:10.11999/JEIT150487

基于中断概率的多跳混合协作地理路由算法

doi: 10.11999/JEIT150487

1.
(空军工程大学航空航天工程学院西安 710038) ②(宇航动力学国家重点实验室西安 710043)

基金项目:

国家自然科学基金(61372167)，航空科学基金 (20130596008)

计量
- 文章访问数: 1214
- HTML全文浏览量: 110
- PDF下载量: 340
- 被引次数: 0
出版历程
- 收稿日期: 2015-04-29
- 修回日期: 2015-10-13
- 刊出日期: 2016-02-19

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

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)

摘要

摘要: 为了减小无线传感器网络中路由的路径长度，该文提出基于中断概率的多跳混合协作地理路由(MHCGR)算法。首先对不同协作机制的链路进行分析，理论分析表明，在一定中断概率要求下，采用译码放大转发混合协作机制可以进一步扩大传输距离，并推导了每跳协作链路的理想最大协作传输距离和理想中继的位置。在无信标地理路由(BLGR)算法的基础上，MHCGR算法结合节点位置信息为每跳选择最佳的中继节点和转发节点，建立从源节点到目的节点的多跳协作路由。仿真表明，与ENBGCR算法和基于DF协作机制的MPCR算法两种协作地理路由算法相比，MHCGR算法可明显减少路由的跳数，改善路由的整体发射功率。
- 无线传感器网络 /
- 路径长度 /
- 协作路由 /
- 协作传输距离 /
- 位置信息
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

HTML全文

参考文献(17)

HEISSENBUTTEL M, BRAUN T, BERNOULLI T, et al. BLR: Beacon-less routing algorithm for mobile ad hoc networks[J]. Elsevier Compter Communication, 2004, 27(11): 1076-1086.

WANG Anbao and ZHU Bin. Improving MPR selection algorithm in OLSR protocol based on node localization technology[J]. Journal of Networks, 2014, 9(7): 1674-1681.

JENI P R J, JULIET A V, and BOSE A M. A secured and reliable route maintenance mechanism for AODV routing protocol[J]. International Journal on Information Technology, 2014, 2(2): 56-62.

NOARATINIA A, HUNTER T E, and HEDAYAT A. Cooperative communication in wireless networks[J]. IEEE Communications Magazine, 2004, 42(10): 74-80.

SU Weifeng, SADEK A K, and LIU K J R. Cooperative communication protocols in wireless networks: Performance analysis and optimum power allocation[J]. Wireless Personal Communications, 2008, 44(2): 181-217.

IBRAHIM A, HAN Zhu, and LIU K J R. Distributed energy-efficient cooperative routing in wireless networks[J]. IEEE Transactions on Wireless Communications, 2008, 7(10): 3930-3941.

张晚生, 刘凯. 无线网络中基于位置的能量高效协作路由算法[J]. 电子与信息学报, 2012, 34(1): 63-68. doi:10.3724/SP. J.1146.2011.00425.

ZHANG Wansheng and LIU Kai. Energy-efficient location- based cooperative routing in wireless network[J]. Jounal of Electronics Information Technology, 2012, 34(1): 63-68. doi: 10.3724/SP.J.1146.2011.00425.

SYUE S J, WANG Chinliang, AGUILAR T, et al. Cooperative geographic routing with radio coverage extension for SER-constrained wireless relay networks[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(2): 271-279.

ABDULHADI S, JASEEMUDDIN M, and ANPALAGAN A. Multi-hop routing with cooperative transmission: A cross-layer approach[J]. Wireless Network, 2014, 20(7): 1685-1697.

SU Weifeng and LIU Xin. On optimum selection relaying protocols in cooperative wireless networks[J]. IEEE Transactions on Communications, 2010, 58(1): 52-57.

XIONG Ke, FAN Pingyi, LI Tao, et al. Outage probability of spacetime network coding over rayleigh fading channels[J]. IEEE Transactions on Vehicular Technology, 2014, 63(4): 1965-1970.

BHATNAGAR M R and ARTI M K. On the closed-form performance analysis of maximal ratio combining in Shadowed-Rician fading LMS channels[J]. IEEE Communications Letters, 2014, 18(1): 54-57.

MUTHUKUMAR S and NAGARAJAN V. Performance analysis of selective decode and forward protocol with partner selection[J]. International Journal of Mobile Communications, 2014, 12(2): 192-206.

刘云, 刘凯, 曾峰. 无线网络中基于优先级竞争的协作媒质接入控制协议研究[J]. 通信学报, 2011, 32(8): 183-190.

LIU Yun, LIU Kai, and ZENG Feng. Study in a cooperative MAC protocol with priority-based contention for wireless networks[J]. Journal on Communications, 2011, 32(8): 183-190.

AGUILAR T, SYUE S, GAUTHIER V, et al. CoopGeo: A beaconless geographic cross-layer protocol for cooperative wireless ad hoc networks[J]. IEEE Transactions on Wireless Communications, 2011, 10(8): 2554-2565.

施引文献

资源附件(0)

访问统计