Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AF
Constructive interference (CI) is a synchronous transmission technique for multiple senders transmitting the same packet simultaneously in wireless sensor networks (WSNs). CI enables fast and reliable network flooding in order to reduce the scheduling overhead of MAC protocols, to achieve accurate t...
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| Format: | Article |
| Language: | English |
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Wiley
2015-06-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/538145 |
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| _version_ | 1832559159776641024 |
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| author | Dapeng Cheng Yanyan Mao Yin Wang Xiangrong Wang |
| author_facet | Dapeng Cheng Yanyan Mao Yin Wang Xiangrong Wang |
| author_sort | Dapeng Cheng |
| collection | DOAJ |
| description | Constructive interference (CI) is a synchronous transmission technique for multiple senders transmitting the same packet simultaneously in wireless sensor networks (WSNs). CI enables fast and reliable network flooding in order to reduce the scheduling overhead of MAC protocols, to achieve accurate time synchronization, to improve link quality of lossy links, and to realize efficient data collection. By achieving microsecond level time synchronization, Glossy realizes millisecond level CI-based flooding and 99% reliability. However, Glossy produces substantial unnecessary data forwarding, which significantly reduces the network lifetime. This is a very critical problem, especially in energy-limited large-scale wireless sensor networks for agriculture and forestry (WSN-AF) system. In this paper, we present an energy adaptive CI-based flooding protocol (EACIF) by exploiting CI in WSN-AF. EACIF proposes a distributed active nodes selection algorithm (ANSA) to reduce redundant transmissions, thereby significantly reducing energy consumption and flooding latency. We estimate the performance of EACIF both with real data traces and with uniformly distributed topology. Simulation results show that EACIF achieves almost the same packet reception ratio (PRR) as Glossy (e.g., 99%), while reducing 63.96% energy consumption. EACIF also reduces 25% flooding latency. When the packet interval is 30 seconds, EACIF achieves 0.11% duty cycle. |
| format | Article |
| id | doaj-art-9e86dcffc0a34c968fe130649d65ed35 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-9e86dcffc0a34c968fe130649d65ed352025-02-03T01:30:41ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-06-011110.1155/2015/538145538145Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AFDapeng Cheng0Yanyan Mao1Yin Wang2Xiangrong Wang3 School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai 264005, China School of Geosciences, China University of Petroleum, Qingdao 266580, China TNLIST, School of Software, Tsinghua University, Beijing 100084, China College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaConstructive interference (CI) is a synchronous transmission technique for multiple senders transmitting the same packet simultaneously in wireless sensor networks (WSNs). CI enables fast and reliable network flooding in order to reduce the scheduling overhead of MAC protocols, to achieve accurate time synchronization, to improve link quality of lossy links, and to realize efficient data collection. By achieving microsecond level time synchronization, Glossy realizes millisecond level CI-based flooding and 99% reliability. However, Glossy produces substantial unnecessary data forwarding, which significantly reduces the network lifetime. This is a very critical problem, especially in energy-limited large-scale wireless sensor networks for agriculture and forestry (WSN-AF) system. In this paper, we present an energy adaptive CI-based flooding protocol (EACIF) by exploiting CI in WSN-AF. EACIF proposes a distributed active nodes selection algorithm (ANSA) to reduce redundant transmissions, thereby significantly reducing energy consumption and flooding latency. We estimate the performance of EACIF both with real data traces and with uniformly distributed topology. Simulation results show that EACIF achieves almost the same packet reception ratio (PRR) as Glossy (e.g., 99%), while reducing 63.96% energy consumption. EACIF also reduces 25% flooding latency. When the packet interval is 30 seconds, EACIF achieves 0.11% duty cycle.https://doi.org/10.1155/2015/538145 |
| spellingShingle | Dapeng Cheng Yanyan Mao Yin Wang Xiangrong Wang Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AF International Journal of Distributed Sensor Networks |
| title | Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AF |
| title_full | Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AF |
| title_fullStr | Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AF |
| title_full_unstemmed | Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AF |
| title_short | Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AF |
| title_sort | improving energy adaptivity of constructive interference based flooding for wsn af |
| url | https://doi.org/10.1155/2015/538145 |
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