Energy-saving route optimizationin a software-defined wireless sensor network
Energy efficiency in wireless sensor networks is an important concern of ‘green’ Internet of Things. The existing energy-saving routing protocols usually compute the route in isolation, which is disadvantageous to globally optimize the energy consumption. In this article, we propose a novel energy-s...
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| Format: | Article |
| Language: | English |
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Wiley
2018-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718807655 |
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| _version_ | 1832547887410577408 |
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| author | Huifeng Huang Zhihong Wu Shaoju Tang |
| author_facet | Huifeng Huang Zhihong Wu Shaoju Tang |
| author_sort | Huifeng Huang |
| collection | DOAJ |
| description | Energy efficiency in wireless sensor networks is an important concern of ‘green’ Internet of Things. The existing energy-saving routing protocols usually compute the route in isolation, which is disadvantageous to globally optimize the energy consumption. In this article, we propose a novel energy-saving route optimization solution based on the software-defined wireless sensor network. In our proposed solution, the controller obtains the overall information about the network topology and the existing routes. Based on the above information, this solution centrally optimizes the routes in a global manner. In contrast to the existing energy-saving routing protocols, the central route optimization better reduces the energy consumption from an overall perspective. The global route optimization tends to reduce the overall energy consumption using a small number of sensors, which can improve the effectiveness of the used sensors. However, using a small number of sensors leads to high energy consumption of related sensors. To solve the above problem, our proposed solution uses a routing evasion mechanism to balance the energy consumption between sensors. |
| format | Article |
| id | doaj-art-f3a4db18e8de4dc499223dad19e7b854 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2018-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-f3a4db18e8de4dc499223dad19e7b8542025-02-03T06:43:00ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-10-011410.1177/1550147718807655Energy-saving route optimizationin a software-defined wireless sensor networkHuifeng Huang0Zhihong Wu1Shaoju Tang2ShanDong JiaoTong University, Jinan, ChinaQilu Hospital, Shandong University, Jinan, ChinaShandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, ChinaEnergy efficiency in wireless sensor networks is an important concern of ‘green’ Internet of Things. The existing energy-saving routing protocols usually compute the route in isolation, which is disadvantageous to globally optimize the energy consumption. In this article, we propose a novel energy-saving route optimization solution based on the software-defined wireless sensor network. In our proposed solution, the controller obtains the overall information about the network topology and the existing routes. Based on the above information, this solution centrally optimizes the routes in a global manner. In contrast to the existing energy-saving routing protocols, the central route optimization better reduces the energy consumption from an overall perspective. The global route optimization tends to reduce the overall energy consumption using a small number of sensors, which can improve the effectiveness of the used sensors. However, using a small number of sensors leads to high energy consumption of related sensors. To solve the above problem, our proposed solution uses a routing evasion mechanism to balance the energy consumption between sensors.https://doi.org/10.1177/1550147718807655 |
| spellingShingle | Huifeng Huang Zhihong Wu Shaoju Tang Energy-saving route optimizationin a software-defined wireless sensor network International Journal of Distributed Sensor Networks |
| title | Energy-saving route optimizationin a software-defined wireless sensor network |
| title_full | Energy-saving route optimizationin a software-defined wireless sensor network |
| title_fullStr | Energy-saving route optimizationin a software-defined wireless sensor network |
| title_full_unstemmed | Energy-saving route optimizationin a software-defined wireless sensor network |
| title_short | Energy-saving route optimizationin a software-defined wireless sensor network |
| title_sort | energy saving route optimizationin a software defined wireless sensor network |
| url | https://doi.org/10.1177/1550147718807655 |
| work_keys_str_mv | AT huifenghuang energysavingrouteoptimizationinasoftwaredefinedwirelesssensornetwork AT zhihongwu energysavingrouteoptimizationinasoftwaredefinedwirelesssensornetwork AT shaojutang energysavingrouteoptimizationinasoftwaredefinedwirelesssensornetwork |