Proceedings ArticleDOI
Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach
O. Younis,Sonia Fahmy +1 more
- Vol. 1, pp 629-640
TLDR
A protocol is presented, HEED (hybrid energy-efficient distributed clustering), that periodically selects cluster heads according to a hybrid of their residual energy and a secondary parameter, such as node proximity to its neighbors or node degree, which outperforms weight-based clustering protocols in terms of several cluster characteristics.Abstract:
Prolonged network lifetime, scalability, and load balancing are important requirements for many ad-hoc sensor network applications. Clustering sensor nodes is an effective technique for achieving these goals. In this work, we propose a new energy-efficient approach for clustering nodes in ad-hoc sensor networks. Based on this approach, we present a protocol, HEED (hybrid energy-efficient distributed clustering), that periodically selects cluster heads according to a hybrid of their residual energy and a secondary parameter, such as node proximity to its neighbors or node degree. HEED does not make any assumptions about the distribution or density of nodes, or about node capabilities, e.g., location-awareness. The clustering process terminates in O(1) iterations, and does not depend on the network topology or size. The protocol incurs low overhead in terms of processing cycles and messages exchanged. It also achieves fairly uniform cluster head distribution across the network. A careful selection of the secondary clustering parameter can balance load among cluster heads. Our simulation results demonstrate that HEED outperforms weight-based clustering protocols in terms of several cluster characteristics. We also apply our approach to a simple application to demonstrate its effectiveness in prolonging the network lifetime and supporting data aggregation.read more
Citations
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Un système de télésanté contextuel avec support de qualité de service pour le maintien à domicile (A context-aware and QoS-aware telehomecare system)
TL;DR: MPIGate, a Multiprotocol Interface and Gateway for healthcare networks, has been developed and was awarded in the competition of the Ministry of Higher Education and Research and OSEO 2010.
Journal ArticleDOI
Sencar Scheduling Algorithm based on Packet Lifetime in WSN’s
TL;DR: A PLBC algorithm is proposed for sensors to coordinate with the SenCar's as per schedule to gather information from nodes within their residual lifetimes to increase the network life-time and minimizing the data collecting delay in WSNs.
Proceedings ArticleDOI
DACA: Dynamic Advanced Clustering Algorithm for Sensor Networks
TL;DR: The proposed protocol DACA (dynamic advanced clustering algorithm) mainly would be executed at set up time all over the network and any time any changes are sensed in the network it locally reconfigures the cluster structure in the clusters that influenced by that changes and correct the clusters structure in a dynamic manner.
Proceedings ArticleDOI
Sub Cluster Aided Data Collection in Multihop Wireless Sensor Networks
Fei Ye,Yao Hua,Zhisheng Niu +2 more
TL;DR: This paper presents the novel concept of sub cluster for energy efficient data collection and relay, and proposes a protocol, SAIC (sub cluster aided interest-driven clustering) to realize this concept, which is extended to support a sink moving in discrete pattern.
Proceedings ArticleDOI
Gateway selection technique for efficient multi-hop routing in Wireless Sensor Networks
TL;DR: A new routing protocol, denoted Multi-Hop Energy Aware Neighbor Oriented Clustering (MH-EANOC), which uses a virtual backbone to improve the network lifetime and reduce the number of lost packets is proposed.
References
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Journal ArticleDOI
Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
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.