An energy efficient topology control algorithm for wireless sensor networks

JIANG Yu-sheng; LI Ping; MA Chao

doi:10.13873/j.1000-97872014.02.030

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An energy efficient topology control algorithm for wireless sensor networks

更新时间：2025-09-11

- An energy efficient topology control algorithm for wireless sensor networks
- Vol. 33, Issue 2, Pages: 146-149+153(2014)
- 作者机构：
  
  重庆大学通信工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872014.02.030
  CLC： TP212.91
- Published：2014
- 稿件说明：
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[1]江禹生,李萍,马超.一种能量高效的无线传感器网络拓扑控制算法[J].传感器与微系统,2014,33(02):146-149+153.

JIANG Yu-sheng, LI Ping, MA Chao. An energy efficient topology control algorithm for wireless sensor networks[J]. 2014, 33(2): 146-149+153.
[1]江禹生,李萍,马超.一种能量高效的无线传感器网络拓扑控制算法[J].传感器与微系统,2014,33(02):146-149+153. DOI： 10.13873/j.1000-97872014.02.030.

JIANG Yu-sheng, LI Ping, MA Chao. An energy efficient topology control algorithm for wireless sensor networks[J]. 2014, 33(2): 146-149+153. DOI： 10.13873/j.1000-97872014.02.030.

摘要

通过对现有拓扑控制算法的研究

针对无线传感器网络中节点能耗分布不均匀的问题

提出了一种能量高效的拓扑控制算法（EETCA）。该算法以均衡全局能耗为目标

综合考虑了节点的剩余能量、簇的规模、数据最优传输跳数等因素

避免了部分节点能量消耗过快

从而有效地均衡网络负载。仿真结果表明:EETCA在能耗均衡方面均优于原来的算法

延长了无线传感器网络的生命周期。

Abstract

Through research on current topology control algorithms

aiming at energy consumption distribution uneven problem of WSNs node

propose an energy efficient topology control algorithm（EETCA） for wireless sensor networks（WSNs）.The algorithm can avoid partial nodes energy dissipation too fast and balance load of network effectively by taking residual energy of nodes

the size of cluster and the optimal transmission hop count of datas into account.Simulation results show that EETCA is prior to the original algorithm in energy consumption balance and prolong the lifecycle of WSNs.

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references

传感器网络中一种能量有效的簇头选择机制 [J]. 周治平,王亭,张明亮. 计算机工程与应用 . 2012(08)

LEACH协议簇头选择算法的改进 [J]. 王伟超,代增全,徐启建. 无线电工程 . 2010(03)

无线传感器网络的分布式能量有效非均匀成簇算法 [J]. 尚凤军,Mehran Abolhasan,Tadeusz Wysocki. 通信学报 . 2009(10)

一种基于非均匀分簇的无线传感器网络路由协议 [J]. 李成法,陈贵海,叶懋,吴杰. 计算机学报 . 2007(01)

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Publicity Resources

Cluster-head multi-hop path routing algorithm for WSNs

LEACH extremum double cluster head clustering method based on CS algorithm

Research on topology evolution model for WSNs based on weight constraints in mutual selection mechanism

Research on WSNs deployment optimization based on fuzzy PSO algorithm

Downhole WSNs localization algorithm based on both tunnel partition and CSO

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