Abstract
In this paper, we investigated the data fusion routing algorithm and the time synchronization algorithm for the wireless sensor networks. First, we proposed a new data fusion routing algorithm - Low Energy Consumption Cluster-Based Routing Algorithm (LECCBRA). Simulation results show that the total energy can be effectively saved, and the balance in energy consumption between clusters can be achieved with LECCBRA, thus the network lifetime is extended. Second, we proposed a time synchronization algorithm - Clustering-based Time Synchronization (CBTS), which is suitable for LECCBRA. Performance analysis and simulation results show that the total energy can be effectively saved, and the accuracy can be improved.
Keywords
- Data Fusion Routing Algorithm Search this journal for Data Fusion Routing Algorithm (opens in a new tab)
- Wireless Sensor Networks Search this journal for Wireless Sensor Networks (opens in a new tab)
- Low Energy Consumption Cluster-Based Routing Algorithm Search this journal for Low Energy Consumption Cluster-Based Routing Algorithm (opens in a new tab)
- Clustering-Based Time Synchronization Search this journal for Clustering-Based Time Synchronization (opens in a new tab)
- NS2 Search this journal for NS2 (opens in a new tab)
References
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Copyright (c) 2013 Huifang DENG, Tingting WANG (Author)

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Keywords
- Data Fusion Routing Algorithm Search this journal for Data Fusion Routing Algorithm (opens in a new tab)
- Wireless Sensor Networks Search this journal for Wireless Sensor Networks (opens in a new tab)
- Low Energy Consumption Cluster-Based Routing Algorithm Search this journal for Low Energy Consumption Cluster-Based Routing Algorithm (opens in a new tab)
- Clustering-Based Time Synchronization Search this journal for Clustering-Based Time Synchronization (opens in a new tab)
- NS2 Search this journal for NS2 (opens in a new tab)
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Vol. 5 No. 11 (2013)
Knowledge Quality, Fraud Detection & Sensor Networks
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