Proceedings ArticleDOI
RDAG: A structure-free real-time data aggregation protocol for wireless sensor networks
Mohammad Hossein Yeganeh,Hamed Yousefi,Naser Alinaghipour,Ali Movaghar +3 more
- Vol. 1, pp 51-60
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TLDR
A novel structure-free Real-time Data Aggregation protocol, RDAG, is designed using a Real- time Data-aware Routing policy and a Judiciously Waiting policy for spatial and temporal convergence of packets to make aggregation more efficient.Abstract:
Data aggregation is an effective technique which is introduced to save energy by reducing packet transmissions in WSNs. However, it extends the delay at the intermediate nodes, so it can complicate the handling of delay-constrained data in event-critical applications. Besides, the structure-based aggregation as the dominant data gathering approach in WSNs suffers from high maintenance overhead in dynamic scenarios for event-based applications. In this paper, to make aggregation more efficient, we design a novel structure-free Real-time Data Aggregation protocol, RDAG, using a Real-time Data-aware Routing policy and a Judiciously Waiting policy for spatial and temporal convergence of packets. Extensive simulations in NS-2 verify the superiority of RDAG in WSNs.read more
Citations
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Proceedings ArticleDOI
Dynamic data aggregation protocol based on multiple objective tree in Wireless Sensor Networks
TL;DR: A semi-structured protocol based on the multi-objective tree that converges from both spatial and temporal points of view for the data aggregation procedure and simulation results validate the feasibility and the high efficiency of the novel protocol when compared with other existing approaches.
Journal ArticleDOI
A survey on data aggregation techniques in wireless sensor networks
TL;DR: An extensive survey of various data aggregation techniques in WSN is performed by categorising the techniques as structured, structure-free, flat and hierarchical in terms of energy conservation, network lifetime, packet delivery ratio, latency and various other parameters.
Journal ArticleDOI
An Efficient Data Aggregation Method for Event-Driven WSNs: A Modeling and Evaluation Approach
TL;DR: The proposed model allows WSN designers to easily achieve useful information about their networks before the establishment and manufacturing of the networks and has at most 7 % prediction error.
Proceedings ArticleDOI
OLDA: An Efficient On-Line Data Aggregation Method for Wireless Sensor Networks
TL;DR: This paper presents an efficient on-line data aggregation method, OLDA, for real-time WSNs that effectively reduces the miss rate compared with DASDR and RDAG aggregation methods, and reduces the network end-to-end delay compared with RAG and SPEED methods.
Journal ArticleDOI
The Degree-Constrained Adaptive Algorithm Based on the Data Aggregation Tree
TL;DR: A new algorithm called DADAT (a Degree-based Adaptive algorithm for Data Aggregation Tree) is proposed that can effectively balance the energy consumption and prolong the lifetime of the network, as well as achieving a lower latency.
References
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Proceedings ArticleDOI
Energy-efficient communication protocol for wireless microsensor networks
TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.
Energy-efficient communication protocols for wireless microsensor networks
TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Journal ArticleDOI
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TL;DR: It is proved that, with appropriate bounds on node density and intracluster and intercluster transmission ranges, HEED can asymptotically almost surely guarantee connectivity of clustered networks.
Journal ArticleDOI
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