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Proceedings ArticleDOI

Multicriteria decision examination in wireless sensor networks

TLDR
A technique based on a dominance based rough set is introduced for cluster head selection on the basis of attributes that have the capacity to augment the sustainability and lifetime of the sensor network.
Abstract
The role of wireless sensor networks (WSNs) is essential to the present scenario. Numerous independent sensors exist in a WSN that cover the entire terrain and have the task of inspecting a specific phenomenon. For this reason, the sensors must work with minimal constraints, such as least energy consumption and data memory. To achieve the objective, many techniques are applied, one of which is clustering, where nodes are congregated into clusters and a head node is elected. Suitable cluster head selection is crucial for improving the energy management of a sensor network. In this paper, a technique based on a dominance based rough set is introduced for cluster head selection on the basis of attributes that have the capacity to augment the sustainability and lifetime of the sensor network. This method is far superior to the probabilistic approach of cluster head selection in a WSN.

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Citations
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Journal ArticleDOI

Decision Model Applied in IoT for Green Buildings Based on Grey Incidence Analysis and ANN

TL;DR: The adaptive adjustment strategies of the application layer in IoT for green buildings based on grey incidence analysis and artificial neural networks (ANNs) and an additional layer H fuzzy propagation natural network algorithm was introduced to collect sensing layer data of IoT and adaptively adjust decisions.
References
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Journal ArticleDOI

Wireless sensor networks: a survey

TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Journal ArticleDOI

A survey on clustering algorithms for wireless sensor networks

TL;DR: A taxonomy and general classification of published clustering schemes for WSNs is presented, highlighting their objectives, features, complexity, etc and comparing of these clustering algorithms based on metrics such as convergence rate, cluster stability, cluster overlapping, location-awareness and support for node mobility.
Proceedings ArticleDOI

Low energy adaptive clustering hierarchy with deterministic cluster-head selection

TL;DR: A communication protocol named LEACH (low-energy adaptive clustering hierarchy) is modified and its stochastic cluster-head selection algorithm is extended by a deterministic component to reduce the power consumption of wireless microsensor networks.
Book ChapterDOI

The Use of Rough Sets and Fuzzy Sets in MCDM

TL;DR: The main change is the substitution of the indiscernibility relation by a dominance relation (crisp or fuzzy), which permits approximation of ordered sets in multicriteria sorting and exploitation procedures of the set of decision rules.
Book

Advances in multiple criteria decision making and human systems management : knowledge and wisdom : in honor of Professor Milan Zeleny

TL;DR: In this article, Milan Zeleny's life-long dedication to multidimensionality has produced an ultimate multidimensional being, living in academic'multiverse', functioning in a boundaryless world of all continents, cultures and countries.
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