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Sink mobility protocols for data collection in wireless sensor networks

Published: 02 October 2006 Publication History

Abstract

In wireless sensor networks data propagation is usually performed by sensors transmitting data towards a static control center (sink). Inspired by important applications (mostly related to ambient intelligence) and as a first step towards introducing mobility, we propose the idea of having a sink moving in the network area and collecting data from sensors. We propose four characteristic mobility patterns for the sink along with different data collection strategies. Through a detailed simulation study, we evaluate several important performance properties of each protocol. Our findings demonstrate that by taking advantage of the sink's mobility, we can significantly reduce the energy spent in relaying traffic and thus greatly extend the lifetime of the network.

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      cover image ACM Conferences
      MobiWac '06: Proceedings of the 4th ACM international workshop on Mobility management and wireless access
      October 2006
      206 pages
      ISBN:159593488X
      DOI:10.1145/1164783
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 02 October 2006

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      Author Tags

      1. data propagation
      2. mobility
      3. performance evaluation
      4. wireless sensor networks

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      MobiWac '06 Paper Acceptance Rate 18 of 60 submissions, 30%;
      Overall Acceptance Rate 83 of 272 submissions, 31%

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      • (2024)Driving Efficiency: A Literature Review of Energy-Efficient Data Collection Strategies for Mobile Sink-Based Wireless Sensor Network2024 International Conference on Computing, Sciences and Communications (ICCSC)10.1109/ICCSC62048.2024.10830377(1-6)Online publication date: 24-Oct-2024
      • (2023)Multiple Mobile Sinks for Quality of Service Improvement in Large-Scale Wireless Sensor NetworksSensors10.3390/s2320853423:20(8534)Online publication date: 18-Oct-2023
      • (2022)A Novel Two-Mode QoS-Aware Mobile Charger Scheduling Method for Achieving Sustainable Wireless Sensor NetworksIEEE Transactions on Sustainable Computing10.1109/TSUSC.2020.30353347:1(14-26)Online publication date: 1-Jan-2022
      • (2022)Path Planning for Data Collection Multiagent System in a Sensing Field with Obstacles2022 International Symposium on Measurement and Control in Robotics (ISMCR)10.1109/ISMCR56534.2022.9950570(1-7)Online publication date: 28-Sep-2022
      • (2021)UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive SurveyElectronics10.3390/electronics1021260310:21(2603)Online publication date: 25-Oct-2021
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      • (2021)Obstacle-Aware Connectivity Establishment in Wireless Sensor NetworksIEEE Sensors Journal10.1109/JSEN.2020.303214421:4(5543-5552)Online publication date: 15-Feb-2021
      • (2021)A Survey on Path Planning Techniques for Mobile Sink in IoT-Enabled Wireless Sensor NetworksWireless Personal Communications10.1007/s11277-021-08204-wOnline publication date: 1-Mar-2021
      • (2021)Neuro‐Fuzzy‐Based Bidirectional and Biobjective Reactive Routing Schema for Critical Wireless Sensor NetworksSensor Data Analysis and Management10.1002/9781119682806.ch4(73-96)Online publication date: 3-Dec-2021
      • (2020)Cooperative Network Model for Joint Mobile Sink Scheduling and Dynamic Buffer Management Using Q-LearningIEEE Transactions on Network and Service Management10.1109/TNSM.2020.300282817:3(1853-1864)Online publication date: Sep-2020
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