ArticleSensors (Basel, Switzerland)2018
Differentiated Data Aggregation Routing Scheme for Energy Conserving and Delay Sensitive Wireless Sensor Networks.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Energy-driven K-means-based LEACH routing protocol for enhanced lifetime in wireless sensor networks.Scientific reports · 2026Article
- Energy-Saving Adaptive Routing for High-Speed Railway Monitoring Network Based on Improved Q Learning.Sensors (Basel, Switzerland) · 2023Article
- Energy-Efficient Message Bundling with Delay and Synchronization Constraints in Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2022Article
- Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks.Sensors (Basel, Switzerland) · 2021Article
- Research on Data Fusion Scheme for Wireless Sensor Networks with Combined Improved LEACH and Compressed Sensing.Sensors (Basel, Switzerland) · 2019Article
- Delay-Aware Reverse Approach for Data Aggregation Scheduling in Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2019Article
- Optimal Message Bundling with Delay and Synchronization Constraints in Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2019Article
- Energy-Efficient Multi-Disjoint Path Opportunistic Node Connection Routing Protocol in Wireless Sensor Networks for Smart Grids.Sensors (Basel, Switzerland) · 2019Article
- Adding Active Slot Joint Larger Broadcast Radius for Fast Code Dissemination in WSNs.Sensors (Basel, Switzerland) · 2018Article
- Minimizing Delay and Transmission Times with Long Lifetime in Code Dissemination Scheme for High Loss Ratio and Low Duty Cycle Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2018Article
- An Energy Conserving and Transmission Radius Adaptive Scheme to Optimize Performance of Energy Harvesting Sensor Networks.Sensors (Basel, Switzerland) · 2018Article
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8 authors.
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Abstract
Data aggregation is a widely adopted method to effectively reduce the data transmission volume and improve the lifetime of wireless sensor networks (WSNs). In the data aggregation networks, some parameters directly determine the delay of aggregation. In industrial applications, the data generated by different sensors have different requirements for delay or other QoS performance. In the previous study, a common strategy is that all kinds of data is aggregated into one frame when the condition is satisfied with a QoS requirement, which causes excessive energy consumption and severely impairs the lifetime of network. A Differentiated Data Aggregation Routing (DDAR) scheme is proposed to reduce energy consumption and guarantee that the delay could be controlled within the corresponding QoS requirement constraint. The primary contributions of the DDAR scheme are the following: (a) The DDAR scheme makes data with different QoS requirement route to the sink along the different paths. The parameters of the aggregators in each path, such as aggregation deadline (Tt) and the aggregation threshold (Nt), are configured according to the QoS requirements. Accordingly, energy consumption can be reduced without degrading the performance of data transmission. (b) Based on DDAR scheme, an improved DDAR scheme is proposed to further improve performance through fully utilize the residual energy in the nodes which are far from the sink. The frequency of aggregation of these nodes increases by reducing the value of Tt and Nt so as to further improve the energy efficiency and reduce delay. Simulation results demonstrate that compared with the previous scheme, this scheme reduces the delay by 25.01%, improves the lifetime by 55.45%, and increases energy efficiency by 83.99%. The improved DDAR scheme improves the energy efficiency by 33.97% and service guarantee rate by 10.11%.
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