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A Load-Balanced and Low-Delay Data Collection for Wireless Sensor Networks

  • Xiaoyan Kui
  • Junbin LiangEmail author
  • Huakun DuEmail author
  • Shaojun Zou
  • Zhixiong Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11280)

Abstract

Energy consumption of nodes and delay in data collection are both important issues in large-scale wireless sensor networks. It is a challenging problem to achieve the goal of balancing energy consumption of nodes and shortening data collection delay at the same time. The paper utilizes a mobile data collector to collect data in the network and proposes a delay-constrained data collection algorithm named LAWA. LAWA constructs a shortest path tree (named load-balanced fat tree) according to the energy of nodes and the number of hops among nodes. Theoretical analyses and massive simulations show that, LAWA cannot only balance the energy consumption of nodes to prolong the network lifetime, but also shorten the path length of the mobile data collector and reduce the delay in data collection when compared with other existing algorithms.

Keywords

Wireless sensor networks Data collection Height-limited tree Network lifetime 

Notes

Acknowledgement

This work is supported by the National Natural Science Foundation of China (Grant nos. 61502540, 61562005, 61502057), the Natural Science Foundation of Guangxi Province (Grant no. 2015GXNSFAA139286), The Cultivation Plan For One Thousand Young and Middle-Aged Backbone Teachers in Guangxi Higher Education School (Guangxi Education People (2017) No. 49), the National Science Foundation of Hunan Province (Grant no. 2015JJ4077), and the China Scholarship Council Project (Grant no. 2015 [3012]).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Information Science and EngineeringCentral South UniversityChangshaChina
  2. 2.Guangxi Key Laboratory of Multimedia Communications and Network TechnologySchool of computer and electronics information, Guangxi UniversityNanningPeople’s Republic of China
  3. 3.School of Geosciences and Info-PhysicsCentral South UniversityChangshaChina
  4. 4.School of Computer Engineering and Applied MathematicsChangsha UniversityChangshaChina

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