Cross-layer routing optimization algorithm for WSNs based on optimal connectivity power control

SUN Yi; SUN Yue; ZENG Lu-kun; LU Jun

doi:10.13873/J.1000-9787(2014)11-0135-04

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Cross-layer routing optimization algorithm for WSNs based on optimal connectivity power control

更新时间：2025-09-11

- Cross-layer routing optimization algorithm for WSNs based on optimal connectivity power control
- Vol. 33, Issue 11, Pages: 135-138(2014)
- 作者机构：
  
  华北电力大学电气与电子工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2014)11-0135-04
  CLC： TN929.5;TP212.9
- Published：2014
- 稿件说明：
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[1]孙毅,孙跃,曾璐琨,陆俊.基于最优连通功率控制的WSNs跨层路由优化算法[J].传感器与微系统,2014,33(11):135-138.

SUN Yi, SUN Yue, ZENG Lu-kun, et al. Cross-layer routing optimization algorithm for WSNs based on optimal connectivity power control[J]. 2014, 33(11): 135-138.
[1]孙毅,孙跃,曾璐琨,陆俊.基于最优连通功率控制的WSNs跨层路由优化算法[J].传感器与微系统,2014,33(11):135-138. DOI： 10.13873/J.1000-9787(2014)11-0135-04.

SUN Yi, SUN Yue, ZENG Lu-kun, et al. Cross-layer routing optimization algorithm for WSNs based on optimal connectivity power control[J]. 2014, 33(11): 135-138. DOI： 10.13873/J.1000-9787(2014)11-0135-04.

摘要

针对非连通区域节点空洞效应和热点区域节点间通信干扰导致的路由服务质量（QoS）下降问题

提出了一种基于最优连通功率控制的无线传感器网络（WSNs）跨层路由优化算法。算法采用自适应最优连通功率控制策略

在避免路由空洞产生和保证网络连通性条件下

降低热点区域节点数据转发竞争干扰;通过位置信息、剩余能量和干扰等级的跨层信息交互

动态选取最优转发节点

提高网络整体性能。仿真实验表明:算法能够提高路由（QoS）、优化网络生命周期和降低热点区域通信干扰。

Abstract

Aiming at decrease of quality of service（ QoS） of routing which caused by cavity effect of node in nonconnected region and communication interference between nodes in hot spots

a cross-layer routing optimization algorithm for wireless sensor networks（ WSNs） based on the optimal connectivity power control is proposed. The algorithm uses adaptive optimal connectivity power control strategy to avoid generating routing holes and guarantee network connectivity

so as to reduce data forwarding competition interference of nodes in hot spots; in order to improve overall performance of network

optimal forwarding node is dynamically selected

through cross layer information exchange of location information

remaining energy

and interference level. Simulation experiment show that the algorithm can improve QoS of routing

optimize network life cycle and reduce communication interference in hot spots.

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references

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