Virtual MIMO-based cross-layer design for wireless sensor networks
Virtual MIMO-based cross-layer design for wireless sensor networks
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DOI：
10.1109/tvt.2006.873837
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发表时间：
2006-05-01
影响因子：
6.8
通讯作者：
Chen, Min
中科院分区：
文献类型：
--
作者：
Yuan, Yong;He, Zhihai;Chen, Min
在本文中，跨层设计提出了一种新型的多ihop虚拟多输入 - 元素超出输出（MIMO）通信协议，以共同提高能源效率，可靠性和端到端（ETE）。无线传感器网络（WSN）中的QoS配置。在该协议中，通过合并合作的MIMO通信，多HOPHOP路由和逐跳恢复方案来扩展传统的低能自适应群集层次结构协议。基于协议，对每个数据包传输的总体能耗进行了建模，并找到了最佳的传输参数集。然后，考虑了该协议的ETE QoS供应问题。协议的ETE潜伏期和吞吐量是根据每个链接的比特率（BER）性能建模的。然后，开发了一个非线性约束的编程模型，以找到每个链接的最佳BER性能，以满足ETE QoS需求，并以最低的能耗。粒子群优化（PSO）算法用于解决该问题。仿真结果表明了拟议方案在节能和QoS配置方面的有效性。
In this paper, a novel multihop virtual multiple-input-multiple-output (MIMO) communication protocol is proposed by the cross-layer design to jointly improve the energy efficiency, reliability, and end-to-end (ETE). QoS provisioning in wireless sensor network (WSN). In the protocol, the traditional low-energy adaptive clustering hierarchy protocol is extended by incorporating the cooperative MIMO communication, multihop routing, and hop-by-hop recovery schemes. Based on the protocol, the overall energy consumption per packet transmission is modeled and the optimal set of transmission parameters is found. Then, the issues of ETE QoS provisioning of the protocol are considered. The ETE latency and throughput of the protocol are modeled in terms of the bit-error-rate (BER) performance of each link. Then, a nonlinear constrained programming model is developed to find the optimal BER performance of each link to meet the ETE QoS requirements with a minimum energy consumption. The particle swarm optimization (PSO) algorithm is employed to solve the problem. Simulation results show the effectiveness of the proposed protocol in energy saving and QoS provisioning.