A Maximal Concurrency and Low Latency Distributed Scheduling Protocol for Wireless Sensor Networks

Existing work that schedules concurrent transmissions without collisions suffers from low channel utilization. We propose the Optimal Node Activation Multiple Access (ONAMA) protocol to achieve maximal channel spatial reuse through a distributed maximal independent set (DMIS) algorithm. To overcome...

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Main Authors: Xiaohui Liu, Yu Chen, Hongwei Zhang
Format: Article
Language:English
Published: Wiley 2015-08-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/603172
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author Xiaohui Liu
Yu Chen
Hongwei Zhang
author_facet Xiaohui Liu
Yu Chen
Hongwei Zhang
author_sort Xiaohui Liu
collection DOAJ
description Existing work that schedules concurrent transmissions without collisions suffers from low channel utilization. We propose the Optimal Node Activation Multiple Access (ONAMA) protocol to achieve maximal channel spatial reuse through a distributed maximal independent set (DMIS) algorithm. To overcome DMIS's excessive delay in finding a maximal independent set, we devise a novel technique called pipelined precomputation that decouples DMIS from data transmission. We implement ONAMA on resource-constrained TelosB motes using TinyOS. Extensive measurements on two testbeds independently attest to ONAMA's superb performance compared to existing work: improving concurrency, throughput, and delay by a factor of 3.7, 3.0, and 5.3, respectively, while still maintaining reliability.
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spelling doaj-art-a48f02cc3f574d71a5712324f7c294c92025-08-20T02:20:21ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-08-011110.1155/2015/603172603172A Maximal Concurrency and Low Latency Distributed Scheduling Protocol for Wireless Sensor NetworksXiaohui LiuYu ChenHongwei ZhangExisting work that schedules concurrent transmissions without collisions suffers from low channel utilization. We propose the Optimal Node Activation Multiple Access (ONAMA) protocol to achieve maximal channel spatial reuse through a distributed maximal independent set (DMIS) algorithm. To overcome DMIS's excessive delay in finding a maximal independent set, we devise a novel technique called pipelined precomputation that decouples DMIS from data transmission. We implement ONAMA on resource-constrained TelosB motes using TinyOS. Extensive measurements on two testbeds independently attest to ONAMA's superb performance compared to existing work: improving concurrency, throughput, and delay by a factor of 3.7, 3.0, and 5.3, respectively, while still maintaining reliability.https://doi.org/10.1155/2015/603172
spellingShingle Xiaohui Liu
Yu Chen
Hongwei Zhang
A Maximal Concurrency and Low Latency Distributed Scheduling Protocol for Wireless Sensor Networks
International Journal of Distributed Sensor Networks
title A Maximal Concurrency and Low Latency Distributed Scheduling Protocol for Wireless Sensor Networks
title_full A Maximal Concurrency and Low Latency Distributed Scheduling Protocol for Wireless Sensor Networks
title_fullStr A Maximal Concurrency and Low Latency Distributed Scheduling Protocol for Wireless Sensor Networks
title_full_unstemmed A Maximal Concurrency and Low Latency Distributed Scheduling Protocol for Wireless Sensor Networks
title_short A Maximal Concurrency and Low Latency Distributed Scheduling Protocol for Wireless Sensor Networks
title_sort maximal concurrency and low latency distributed scheduling protocol for wireless sensor networks
url https://doi.org/10.1155/2015/603172
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