A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoT
Many studies on distributed resource-allocation algorithms have been conducted recently because of the increasing number of network nodes and the rapidly changing network environments in the Internet of Things (IoT). In this paper, we propose the multihop DESYNC algorithm, which is a bioinspired Tim...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Hindawi - SAGE Publishing
2016-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2016/7296359 |
| _version_ | 1797762878988615680 |
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| author | Young-Jae Kim Hyun-Ho Choi Jung-Ryun Lee |
| author_facet | Young-Jae Kim Hyun-Ho Choi Jung-Ryun Lee |
| author_sort | Young-Jae Kim |
| collection | DOAJ |
| description | Many studies on distributed resource-allocation algorithms have been conducted recently because of the increasing number of network nodes and the rapidly changing network environments in the Internet of Things (IoT). In this paper, we propose the multihop DESYNC algorithm, which is a bioinspired Time Division Multiple Access- (TDMA-) based distributed resource-allocation scheme for distributed sensor networks. We define a detailed frame structure for the proposed multihop DESYNC algorithm and a firing message, which acts as a reference for resource allocation. In addition, operating procedures for resource allocation and collision detection avoidance under multihop DESYNC are explained. Simulations show that multihop DESYNC effectively resolves the hidden-node problem and that it fairly shares resources among nearby nodes in multihop networks. Moreover, it achieves better performance than the CSMA/CA algorithm in terms of channel reuse gain and average throughput. |
| first_indexed | 2024-03-12T19:34:39Z |
| format | Article |
| id | doaj.art-8a0a6508354c4ffb8830136f27e542a4 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T19:34:39Z |
| publishDate | 2016-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-8a0a6508354c4ffb8830136f27e542a42023-08-02T04:18:24ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772016-04-011210.1155/2016/7296359A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoTYoung-Jae Kim0Hyun-Ho Choi1Jung-Ryun Lee2 School of EEE, Chung-Ang University, Seoul 06974, Republic of Korea Department of the EEC, Hankyong National University, Gyeonggi-do 17579, Republic of Korea School of EEE, Chung-Ang University, Seoul 06974, Republic of KoreaMany studies on distributed resource-allocation algorithms have been conducted recently because of the increasing number of network nodes and the rapidly changing network environments in the Internet of Things (IoT). In this paper, we propose the multihop DESYNC algorithm, which is a bioinspired Time Division Multiple Access- (TDMA-) based distributed resource-allocation scheme for distributed sensor networks. We define a detailed frame structure for the proposed multihop DESYNC algorithm and a firing message, which acts as a reference for resource allocation. In addition, operating procedures for resource allocation and collision detection avoidance under multihop DESYNC are explained. Simulations show that multihop DESYNC effectively resolves the hidden-node problem and that it fairly shares resources among nearby nodes in multihop networks. Moreover, it achieves better performance than the CSMA/CA algorithm in terms of channel reuse gain and average throughput.https://doi.org/10.1155/2016/7296359 |
| spellingShingle | Young-Jae Kim Hyun-Ho Choi Jung-Ryun Lee A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoT International Journal of Distributed Sensor Networks |
| title | A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoT |
| title_full | A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoT |
| title_fullStr | A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoT |
| title_full_unstemmed | A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoT |
| title_short | A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoT |
| title_sort | bioinspired fair resource allocation algorithm for tdma based distributed sensor networks for iot |
| url | https://doi.org/10.1155/2016/7296359 |
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