Increasing the Lifetime of Mobile WSNs via Dynamic Optimization of Sensor Node Communication Activity
In this paper, a simple and flexible method for increasing the lifetime of fixed or mobile wireless sensor networks is proposed. Based on past residual energy information reported by the sensor nodes, the sink node or another central node dynamically optimizes the communication activity levels of th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-09-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/9/1536 |
| _version_ | 1818000267008802816 |
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| author | Dayan Adionel Guimarães Lucas Jun Sakai Antonio Marcos Alberti Rausley Adriano Amaral de Souza |
| author_facet | Dayan Adionel Guimarães Lucas Jun Sakai Antonio Marcos Alberti Rausley Adriano Amaral de Souza |
| author_sort | Dayan Adionel Guimarães |
| collection | DOAJ |
| description | In this paper, a simple and flexible method for increasing the lifetime of fixed or mobile wireless sensor networks is proposed. Based on past residual energy information reported by the sensor nodes, the sink node or another central node dynamically optimizes the communication activity levels of the sensor nodes to save energy without sacrificing the data throughput. The activity levels are defined to represent portions of time or time-frequency slots in a frame, during which the sensor nodes are scheduled to communicate with the sink node to report sensory measurements. Besides node mobility, it is considered that sensors’ batteries may be recharged via a wireless power transmission or equivalent energy harvesting scheme, bringing to the optimization problem an even more dynamic character. We report large increased lifetimes over the non-optimized network and comparable or even larger lifetime improvements with respect to an idealized greedy algorithm that uses both the real-time channel state and the residual energy information. |
| first_indexed | 2024-04-14T03:19:42Z |
| format | Article |
| id | doaj.art-1a585b05c4704576a2960f4058f4d4cc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T03:19:42Z |
| publishDate | 2016-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1a585b05c4704576a2960f4058f4d4cc2022-12-22T02:15:20ZengMDPI AGSensors1424-82202016-09-01169153610.3390/s16091536s16091536Increasing the Lifetime of Mobile WSNs via Dynamic Optimization of Sensor Node Communication ActivityDayan Adionel Guimarães0Lucas Jun Sakai1Antonio Marcos Alberti2Rausley Adriano Amaral de Souza3National Institute of Telecommunications—Inatel Av. João de Camargo 510, Santa Rita do Sapucaí, MG 37540-000, BrazilNational Institute of Telecommunications—Inatel Av. João de Camargo 510, Santa Rita do Sapucaí, MG 37540-000, BrazilNational Institute of Telecommunications—Inatel Av. João de Camargo 510, Santa Rita do Sapucaí, MG 37540-000, BrazilNational Institute of Telecommunications—Inatel Av. João de Camargo 510, Santa Rita do Sapucaí, MG 37540-000, BrazilIn this paper, a simple and flexible method for increasing the lifetime of fixed or mobile wireless sensor networks is proposed. Based on past residual energy information reported by the sensor nodes, the sink node or another central node dynamically optimizes the communication activity levels of the sensor nodes to save energy without sacrificing the data throughput. The activity levels are defined to represent portions of time or time-frequency slots in a frame, during which the sensor nodes are scheduled to communicate with the sink node to report sensory measurements. Besides node mobility, it is considered that sensors’ batteries may be recharged via a wireless power transmission or equivalent energy harvesting scheme, bringing to the optimization problem an even more dynamic character. We report large increased lifetimes over the non-optimized network and comparable or even larger lifetime improvements with respect to an idealized greedy algorithm that uses both the real-time channel state and the residual energy information.http://www.mdpi.com/1424-8220/16/9/1536convex optimizationenergy harvestinggreedy algorithmlifetime optimizationmobile wireless sensor networkswireless power transmission |
| spellingShingle | Dayan Adionel Guimarães Lucas Jun Sakai Antonio Marcos Alberti Rausley Adriano Amaral de Souza Increasing the Lifetime of Mobile WSNs via Dynamic Optimization of Sensor Node Communication Activity Sensors convex optimization energy harvesting greedy algorithm lifetime optimization mobile wireless sensor networks wireless power transmission |
| title | Increasing the Lifetime of Mobile WSNs via Dynamic Optimization of Sensor Node Communication Activity |
| title_full | Increasing the Lifetime of Mobile WSNs via Dynamic Optimization of Sensor Node Communication Activity |
| title_fullStr | Increasing the Lifetime of Mobile WSNs via Dynamic Optimization of Sensor Node Communication Activity |
| title_full_unstemmed | Increasing the Lifetime of Mobile WSNs via Dynamic Optimization of Sensor Node Communication Activity |
| title_short | Increasing the Lifetime of Mobile WSNs via Dynamic Optimization of Sensor Node Communication Activity |
| title_sort | increasing the lifetime of mobile wsns via dynamic optimization of sensor node communication activity |
| topic | convex optimization energy harvesting greedy algorithm lifetime optimization mobile wireless sensor networks wireless power transmission |
| url | http://www.mdpi.com/1424-8220/16/9/1536 |
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