An efficient trajectory design for mobile sink in a wireless sensor network

Saim Ghafoor, Mubashir Husain Rehmani, Sunghyun Cho, Sung Han Park

Research output: Contribution to journalArticlepeer-review

70 Citations (Scopus)

Abstract

Mobile sink trajectory plays a pivotal role for network coverage, data collection and data dissemination in wireless sensor networks. Considering this, we propose a novel approach for mobile sink trajectory in wireless sensor networks. Our proposed approach is based on Hilbert Space Filling Curve, however, the proposed approach is different from the previouswork in a sense that the curve order changes according to node density. In this paper, we investigate the mobile sink trajectory based on Hilbert Curve Order which depends upon the size of the network. Second, we calculate the Hilbert Curve Order based on node density to redimension the mobile sink trajectory. Finally, we perform extensive simulations to evaluate the effectiveness of proposed approach in terms of network coverage and scalability. Simulation results confirm that our proposed approach outperforms with size based Hilbert Curve in terms of network coverage, packet delivery ratio and average energy consumption.

Original languageEnglish
Pages (from-to)2089-2100
Number of pages12
JournalComputers and Electrical Engineering
Volume40
Issue number7
DOIs
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • Data dissemination
  • Hilbert space filling curve
  • Mobile sink trajectory
  • Network coverage
  • Node density
  • Wireless sensor network

Fingerprint

Dive into the research topics of 'An efficient trajectory design for mobile sink in a wireless sensor network'. Together they form a unique fingerprint.

Cite this