NDLI: Energy source saving approach using multi-tier network design technique

Content Provider	IEEE Xplore Digital Library
Author	Din, Wan Isni Sofiah Wan Yahya, Saadiah Razali, Razulaimi Taib, Mohd Nasir Yassin, Ahmad Ihsan Mohd
Copyright Year	2015
Description	Author affiliation: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam Selangor, Malaysia (Din, Wan Isni Sofiah Wan) \|\| Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam Selangor, Malaysia (Taib, Mohd Nasir; Yassin, Ahmad Ihsan Mohd) \|\| Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Kampus Jengka, Pahang, Malaysia (Razali, Razulaimi) \|\| Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA, 40450 Shah Alam Selangor, Malaysia (Yahya, Saadiah)
Abstract	A wireless sensor network (WSN) organizes collected data at a central location using a set of specialized transducers with a communications infrastructure for monitoring and recording conditions at various locations. A sensor network consists of multiple detection stations called sensor nodes, each of which is small, lightweight and portable. A WSN node contains several technical components which include the radio, microcontroller, analog circuit, sensor interface and an energy source, usually a battery. Sensor nodes have the limitation of its battery where the battery is impossible to be replaced once it has been deployed. This paper presents an improvement of clustering method by implementing two-tiers of network design for efficiency of data transmission and fuzzy logic approach for cluster head selection which minimizes the energy usage of sensor nodes hence can maximize the network lifetime. The two-tiers clustering approach used in this paper covers the average of 100M×100M network and involves three parameters that worked together in order to select the cluster head which are residual energy, communication cost and centrality. The parameters have shown that the selection of cluster head can minimize the energy usage for the whole network lifetime. It is concluded that, the implementation of Fuzzy Logic used all node evenly and the nodes died sequentially as the data keep increasing. This causes the sensor nodes to use their energy effectively hence prolonging the network's lifetime. For the future work, the stability of this algorithm can be tested using random energy.
Starting Page	49
Ending Page	54
File Size	311023
Page Count	6
File Format	PDF
e-ISBN	9781467367165
DOI	10.1109/ICSGRC.2015.7412463
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-10
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Clustering methods Cluster head Batteries Clustering Fuzzy logic Wireless sensor networks Wireless Sensor Network Energy Clustering algorithms Multi-tier Data communication Fuzzy Logic
Content Type	Text
Resource Type	Article

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