Table of Content

Open Access

ARTICLE

Maximum Data Generation Rate Routing Protocol Based on Data Flow Controlling Technology for Rechargeable Wireless Sensor Networks

Demin Gao1, 2, *, Shuo Zhang1, Fuquan Zhang1, Xijian Fan1, Jinchi Zhang1,∗
College of Information Science and Technology, Nanjing Forestry University, Nanjing, 210037, China.
Department of Computer Science and Engineering, University of Minnesota, Minneapolis MN, 55455, USA.
* Corresponding Authors: Jinchi Zhang. Email: ;
  Demin Gao. Email: .

Computers, Materials & Continua 2019, 59(2), 649-667. https://doi.org/10.32604/cmc.2019.05195

Abstract

For rechargeable wireless sensor networks, limited energy storage capacity, dynamic energy supply, low and dynamic duty cycles cause that it is unpractical to maintain a fixed routing path for packets delivery permanently from a source to destination in a distributed scenario. Therefore, before data delivery, a sensor has to update its waking schedule continuously and share them to its neighbors, which lead to high energy expenditure for reestablishing path links frequently and low efficiency of energy utilization for collecting packets. In this work, we propose the maximum data generation rate routing protocol based on data flow controlling technology. For a sensor, it does not share its waking schedule to its neighbors and cache any waking schedules of other sensors. Hence, the energy consumption for time synchronization, location information and waking schedule shared will be reduced significantly. The saving energy can be used for improving data collection rate. Simulation shows our scheme is efficient to improve packets generation rate in rechargeable wireless sensor networks.

Keywords

Wireless sensor networks, maximum data generation rate, rechargeable-WSNs

Cite This Article

D. Gao, S. Zhang, F. Zhang, X. Fan and J. Zhang, "Maximum data generation rate routing protocol based on data flow controlling technology for rechargeable wireless sensor networks," Computers, Materials & Continua, vol. 59, no.2, pp. 649–667, 2019.

Citations




This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 2107

    View

  • 742

    Download

  • 0

    Like

Share Link

WeChat scan