Energy-aware determination of compression for low latency in solar-powered wireless sensor networks
There have been many studies performed about increasing network lifetime in wireless sensor networks that involve reducing data size, since the data transmission process takes up a large part of energy consumption. However, reducing data size results in increased delay time due to not only the compr...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-02-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717694168 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547894317547520 |
|---|---|
| author | Min Jae Kang Semi Jeong Ikjune Yoon Dong Kun Noh |
| author_facet | Min Jae Kang Semi Jeong Ikjune Yoon Dong Kun Noh |
| author_sort | Min Jae Kang |
| collection | DOAJ |
| description | There have been many studies performed about increasing network lifetime in wireless sensor networks that involve reducing data size, since the data transmission process takes up a large part of energy consumption. However, reducing data size results in increased delay time due to not only the compression computation time but also the waiting time to gather a sufficient amount of data for compression. Meanwhile, in solar-powered wireless sensor networks, the harvested energy may be surplus to the basic operations of sensor nodes. In this study, such surplus energy is utilized to reduce the delay time between nodes. Nodes with residual energy less than a certain threshold transfer data with compression in order to reduce energy consumption, and nodes with residual energy over the threshold (which means there is surplus energy) transfer data without compression to reduce the delay time between nodes by using the surplus energy. Simulation-based performance verifications show that the technique proposed in this study exhibits optimal performance in terms of both energy and delay times compared with traditional methods. |
| format | Article |
| id | doaj-art-07ecfb6ba808466fa4b166667ba700bb |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-07ecfb6ba808466fa4b166667ba700bb2025-02-03T06:42:54ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-02-011310.1177/1550147717694168Energy-aware determination of compression for low latency in solar-powered wireless sensor networksMin Jae Kang0Semi Jeong1Ikjune Yoon2Dong Kun Noh3Department of Electronic Engineering, Soongsil University, Seoul, KoreaDepartment of Software Convergence, Soongsil University, Seoul, KoreaDepartment of Smart Systems Software, Soongsil University, Seoul, KoreaDepartment of Software Convergence, Soongsil University, Seoul, KoreaThere have been many studies performed about increasing network lifetime in wireless sensor networks that involve reducing data size, since the data transmission process takes up a large part of energy consumption. However, reducing data size results in increased delay time due to not only the compression computation time but also the waiting time to gather a sufficient amount of data for compression. Meanwhile, in solar-powered wireless sensor networks, the harvested energy may be surplus to the basic operations of sensor nodes. In this study, such surplus energy is utilized to reduce the delay time between nodes. Nodes with residual energy less than a certain threshold transfer data with compression in order to reduce energy consumption, and nodes with residual energy over the threshold (which means there is surplus energy) transfer data without compression to reduce the delay time between nodes by using the surplus energy. Simulation-based performance verifications show that the technique proposed in this study exhibits optimal performance in terms of both energy and delay times compared with traditional methods.https://doi.org/10.1177/1550147717694168 |
| spellingShingle | Min Jae Kang Semi Jeong Ikjune Yoon Dong Kun Noh Energy-aware determination of compression for low latency in solar-powered wireless sensor networks International Journal of Distributed Sensor Networks |
| title | Energy-aware determination of compression for low latency in solar-powered wireless sensor networks |
| title_full | Energy-aware determination of compression for low latency in solar-powered wireless sensor networks |
| title_fullStr | Energy-aware determination of compression for low latency in solar-powered wireless sensor networks |
| title_full_unstemmed | Energy-aware determination of compression for low latency in solar-powered wireless sensor networks |
| title_short | Energy-aware determination of compression for low latency in solar-powered wireless sensor networks |
| title_sort | energy aware determination of compression for low latency in solar powered wireless sensor networks |
| url | https://doi.org/10.1177/1550147717694168 |
| work_keys_str_mv | AT minjaekang energyawaredeterminationofcompressionforlowlatencyinsolarpoweredwirelesssensornetworks AT semijeong energyawaredeterminationofcompressionforlowlatencyinsolarpoweredwirelesssensornetworks AT ikjuneyoon energyawaredeterminationofcompressionforlowlatencyinsolarpoweredwirelesssensornetworks AT dongkunnoh energyawaredeterminationofcompressionforlowlatencyinsolarpoweredwirelesssensornetworks |