An Energy-Efficient Environment Monitoring Scheme for Wireless Sensor Networks Based on Contour Mapping

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An Energy-Efficient Environment Monitoring Scheme for Wireless Sensor Networks Based on Contour Mapping

更新时间：2025-07-09

- An Energy-Efficient Environment Monitoring Scheme for Wireless Sensor Networks Based on Contour Mapping
- Vol. 44, Issue 2, Pages: 56-60+66(2010)
- 作者机构：
  
  1. 中国科学院西安光学精密机械研究所光电测控技术研究室,西安,710068
  2. 中国科学院研究生院,北京,100190
  3. 中国科学院软件所信息安全国家重点实验室,北京,100190
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393
- Online First：10 February 2010，
  
  Published：2010
- 稿件说明：
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An Energy-Efficient Environment Monitoring Scheme for Wireless Sensor Networks Based on Contour Mapping[J]. 2010, 44(2): 56-60+66.
DOI：

An Energy-Efficient Environment Monitoring Scheme for Wireless Sensor Networks Based on Contour Mapping[J]. 2010, 44(2): 56-60+66. DOI：

摘要

针对无线传感器网络环境监测应用中的能量受限问题

提出一种基于Bezier曲线的无线传感器网络等值线监测方法——SENS-T.利用等值线来表示环境监测值的分布信息

即将等值线划分为若干Bezier曲线段

每条曲线段的信息由一个代表节点负责传回汇聚中心

汇聚中心再根据网络节点坐标与接收的曲线信息进行等值线还原.汇聚节点的数量由划分的Bezier曲线段的段数决定

从而改良了传统方法中等值线上所有节点都要进行汇聚的做法.仿真表明

SENS-T可有效节省网络能量和带宽

与传统等值线监测方案相比

在达到相同等值线绘制精度的同时

可节省约45%的网络能量.

Abstract

A novel contour mapping scheme based on Bezier curves for wireless sensor networks

SENS-T

is presented to solve the problem of energy limits in using wireless sensor networks to monitor environments. The scheme uses contours to represent the distribution of environment attribute value

that is

the contour is divided into pieces of Bezier curves

the shape and the position information of each Bezier curve is collected to one deputy node and is reported to the sink; and the sink uses the nodes coordinates and the received curve information to rebuild the contour curve. The number of report nodes is determined by the number of Bezier curve segments so that the traditional method that reports the information of all nodes on the contour is reformed. Simulation results show that the energy and bandwidth of network are saved efficiently by SENS-T

and a comparison with the traditional method at the same accuracy of counter mapping shows that the SENS-T saves approximately 45% network energy.

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Keywords

references

HELLERSTEIN J M, WANG W, MADDEN S, et al. Beyond average: toward sophisticated sensing with queries [C]∥Proceedings of Information Processing in Sensor Networks. Piscataway, NJ, USA: IEEE, 2003: 553-559.

LIU Yunhao, LI Mo. Iso-Map: energy-efficient contour mapping in wireless sensor [C]∥Proceedings of International Conference on Distributed Computing Systems. Piscataway, NJ, USA: IEEE, 2007: 36-42.

XUE W, LUO Q, CHEN L, et al. Contour map matching for event detection in wireless sensor networks [C]∥Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data. New York, USA: ACM, 2006: 157-168.

李善仓, 傅鹏, 张德运. 无线传感器网络中的分布式节点定位方法[J]. 西安交通大学学报, 2007, 41(12): 1418-1422.

LI Shancang, FU Peng, ZHANG Deyun. Distributed nodes localization method in wireless sensor networks[J]. Journal of Xi'an Jiaotong University, 2007, 41(12): 1418-1422.

LOVELL B C, BISWAS S. Bézier and splines in image processing and machine vision [M]. Berlin, Germany: Springer, 2008.

孙家广.计算机图形学[M]. 北京: 清华大学出版社,1998: 410-413.

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