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Wireless Networks

, Volume 25, Issue 1, pp 241–253 | Cite as

QDVGDD: Query-Driven Virtual Grid based Data Dissemination for wireless sensor networks using single mobile sink

  • Abdul Waheed KhanEmail author
  • Javed Iqbal Bangash
  • Adnan Ahmed
  • Abdul Hanan Abdullah
Article

Abstract

In wireless sensor networks, efficient resource management is a major concern for the battery operated sensor nodes. Data collection using mobile sink(s) is considered as a good strategy to prolong network lifetime and improve network coverage. Most of the existing mobile sink based data collection schemes operate in event driven or periodic sensing modes. There are several application environments, which dictate query driven data collection using a mobile sink e.g., a mobile sink might require reinforced data reporting from one particular network segment compared to others. In this regard, the existing query driven data collection schemes either impose too many constraints on network operation or poorly perform when delivering the requested data to a mobile sink with variable speed. In this paper we propose Query-Driven Virtual Grid based Data Dissemination (QDVGDD) scheme that aims to improve data delivery performance to a mobile sink. The proposed scheme makes use of a virtual infrastructure thereby causing minimal network control overheads while delivering the requested data with high quality of service to the mobile sink. We carried out extensive simulation works in NS-2.35 to evaluate the performance of our QDVGDD at different sink’s speeds and network sizes. Simulation results reveal improved performance of QDVGDD in terms of data delivery latency, data delivery ratio, average energy consumption, and estimated network traffic as compared to other state-of-the-art.

Keywords

Query-driven Data dissemination Mobile sink Wireless sensor network 

Notes

Acknowledegment

This paper was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University. The authors, therefore, acknowledge with thanks to DSR’s technical and financial support.

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Faculty of Computing and Information Technology in RabighKing Abdulaziz UniversityJeddahSaudi Arabia
  2. 2.Department of ComputingAbasyn UniversityPeshawarPakistan
  3. 3.Faculty of Computer System EngineeringQuaid-e-Awam University of Engineering, Science and TechnologyNawabshahPakistan
  4. 4.Faculty of ComputingUniversiti Teknologi Malaysia (UTM)Johor BahruMalaysia

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