Proceedings ArticleDOI
Effective Data Aggregation Supported by Dynamic Routing in Wireless Sensor Networks
Jian Zhang,Wu Qiuhan,Feng-Yuan Ren,Ting He,Cheng-Te Lin +4 more
- pp 1-6
TLDR
This work aims to design an effective data aggregation mechanism supported by dynamic routing (DASDR) which can adapt to different scenarios without incurring much overhead and scales well with regard to the network size.Abstract:
Data aggregation is an main method to conserve energy in wireless sensor network (WSN) Prior work on data aggregation protocols are generally based on static routing schemes, such as tree-based, cluster-based or chain-based routing schemes Although they can save energy to some extent, in dynamic scenarios where the source nodes are changing frequently, they will not only incur high overhead to continuously reconstruct the routing but also can not reduce the communication overhead effectively Our work aims to design an effective data aggregation mechanism supported by dynamic routing (DASDR) which can adapt to different scenarios without incurring much overhead Enlightened by the concept of potential field in the discipline of physics, the dynamic routing in DASDR is designed based on two potential fields: depth potential field which guarantees packets reaching the sink at last and queue potential field which makes packets more spatially convergent and thus data aggregation will be more efficient Simulation results show that DASDR is more effective in energy savings as well as scales well with regard to the network sizeread more
Citations
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Journal ArticleDOI
Evaluation and Comparative Study of Structure Free Aggregation Techniques for Duty Cycled Wireless Sensor Networks
TL;DR: A comparative study of various structure free aggregation techniques for duty cycled sensor networks finds that Tuned delay based aggregation scheme reduces energy consumption as compared to Collect protocol and reduces the worst event notification time in comparison to random delaybased aggregation scheme.
Book ChapterDOI
Data Aggregation and Forwarding Route Control for Efficient Data Gathering in Dense Mobile Wireless Sensor Networks
TL;DR: This chapter presents a data gathering method considering geographical distribution of data values for reducing traffic in dense mobile wireless sensor networks and introduces an extended method of DGUMA/DA (DGUMA with Data Aggregation), that exploits geographical distributed data values in order to further reduce traffic.
Journal ArticleDOI
Fault Tolerant Clustering Protocol for Data Delivery in Wireless Sensor Networks
TL;DR: This paper proposes an idea of fault tolerant optimal path determination for forwarding data to the base station to enhance the network lifetime and implement fault tolerance at the same time.
Journal ArticleDOI
Dynamic Cluster Head Selection Method using LEACH Algorithm for Wireless Sensor Network
TL;DR: This paper introduces a dynamic cluster head election technique and shows that the proposed approach prolongs the network lifetime and balancing the energy consumption model among the nodes of the cluster.
Proceedings ArticleDOI
A Systematic Review of Data Aggregation using Machine Learning Techniques
TL;DR: In this article , the authors surveyed the research published in the last decade for Data Aggregation (DA) in WSN using Machine Learning (ML) approaches and discussed the basic architecture involved in data transfer using nodes in while performing DA and the list of various ML approaches that have been implemented in the recent past for DA.
References
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Journal ArticleDOI
An application-specific protocol architecture for wireless microsensor networks
TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
Journal ArticleDOI
HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
O. Younis,Sonia Fahmy +1 more
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
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
TL;DR: This work presents the Tiny AGgregation (TAG) service for aggregation in low-power, distributed, wireless environments, and discusses a variety of optimizations for improving the performance and fault tolerance of the basic solution.
Dissertation
Application-specific protocol architectures for wireless networks
TL;DR: This dissertation supports the claim that application-specific protocol architectures achieve the energy and latency efficiency and error robustness needed for wireless networks by developing two systems.
Journal ArticleDOI
Data gathering algorithms in sensor networks using energy metrics
TL;DR: This paper presents an improved scheme, called PEGASIS (power-efficient gathering in sensor information systems), which is a near-optimal chain-based protocol that minimizes energy, and presents two new schemes that attempt to balance the energy and delay cost for data gathering from sensor networks.