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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Protocol Design of Sensor Networks for Wireless Automation
TL;DR: A cross-layer protocol for WSNs in industrial automation, the Extended Randomized Protocol, which considers jointly physical layer aspects (as power control and duty cycling strategies), randomized MAC and routing, and it is designed with the objective to maximize the network lifetime under the constraints of error rate and end-to-end delay in the packet delivery.
Review Paper on Hierarchal Energy- Efficient Protocols in Wireless Sensor Networks
TL;DR: This paper presents a comparative study of hierarchical based routing protocols and their advantages and disadvantages which is a sub-type of the network structure based routing protocol in WSNs is carried out.
Proceedings ArticleDOI
A hierarchical architecture for energy-efficient information dissemination in sensor networks
Shi GaoTao,Liao Ming-hong +1 more
TL;DR: This paper presents the clustering and routing protocols and evaluates the performances by analysis and simulation which illustrate that this architecture can reduce the energy consumption and improve the query success ratio as well.
Proceedings ArticleDOI
Efficient clustering in WSN-Cloud using LBSO (Load Based Self-Organized) technique
TL;DR: This paper has proposed a clustering technique namely LBSO (Load Based Self-Organized) which helps in balancing the node and it clearly indicates that the algorithm outperforms the existing LEACH protocol.
Journal ArticleDOI
A survey on wireless sensor network clustering protocols optimized via game theory
TL;DR: The application of game theory in wireless sensor network protocols, specifically in the domain of communication protocols involving cluster formation i.e. clustering protocols in WSN is surveyed and how it optimizes the functioning of these protocols is surveyed.
References
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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.
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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.