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Low latency scheduling for convergecast in ZigBee tree-based wireless sensor networks

Published: 01 November 2014 Publication History

Abstract

Convergecast is a fundamental operation in many wireless sensor network (WSN) applications. When gathering data, power saving and convergecast latency are two main concerns. This work adopts the ZigBee tree networks to address these two concerns. In a ZigBee tree network, to support energy efficient operations, each node is assigned to an active portion (or say slot). A node wakes up at its slot and its parent's slot to collect data from its children and to report data to its parent, respectively. Then, it can go to sleep to save energy. To support low latency convergecast, in this work, we propose a centralized and a distributed slot assignment schemes for ZigBee tree networks. We observe that when assigning slots, the latency can be further reduced by reconnecting some tree links. More specifically, by the designed rules, a node is allowed to locally modify some of its neighbors' parents, and then the node can be assigned to a better slot that can have the benefit of reducing the node's report latency. Simulation and implementation results show that the proposed schemes can effectively reduce the convergecast latency in ZigBee tree-based WSNs.

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  • (2017)Energy efficient data gathering for WSN-based context-aware applicationsInternational Journal of Ad Hoc and Ubiquitous Computing10.5555/3079766.307977225:1-2(65-74)Online publication date: 1-Jan-2017
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    Information & Contributors

    Information

    Published In

    cover image Journal of Network and Computer Applications
    Journal of Network and Computer Applications  Volume 46, Issue C
    November 2014
    418 pages

    Publisher

    Academic Press Ltd.

    United Kingdom

    Publication History

    Published: 01 November 2014

    Author Tags

    1. Convergecast
    2. Graph theory
    3. Scheduling
    4. Tree construction
    5. Wireless sensor network
    6. ZigBee

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    View all
    • (2022)A Sensor-Based IoT Data Collection and Marine Economy Collaborative Innovation MethodComputational Intelligence and Neuroscience10.1155/2022/34219992022Online publication date: 1-Jan-2022
    • (2020)Performance Evaluation of Scheduling Approaches for Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-019-06775-3110:3(1089-1108)Online publication date: 1-Feb-2020
    • (2017)Energy efficient data gathering for WSN-based context-aware applicationsInternational Journal of Ad Hoc and Ubiquitous Computing10.5555/3079766.307977225:1-2(65-74)Online publication date: 1-Jan-2017
    • (2017)Optimal coloring for data collection in tree-based wireless sensor networksTheoretical Computer Science10.1016/j.tcs.2017.07.024700:C(23-36)Online publication date: 14-Nov-2017
    • (2017)Energy Balance Based Uneven Cluster Routing Protocol Using Ant Colony Taboo for Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4567-797:1(1305-1321)Online publication date: 1-Nov-2017
    • (2016)Fast convergecast for low-duty-cycled multi-channel wireless sensor networksAd Hoc Networks10.1016/j.adhoc.2015.12.00640:C(1-14)Online publication date: 1-Apr-2016
    • (2015)Interference-free scheduling with minimum latency in cluster-based wireless sensor networksWireless Networks10.1007/s11276-015-0925-021:7(2395-2411)Online publication date: 1-Oct-2015

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