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http://dx.doi.org/10.3837/tiis.2016.10.014

ESBL: An Energy-Efficient Scheme by Balancing Load in Group Based WSNs  

Mehmood, Amjad (Guangdong Provincial Key Laboratory on Petrochemical Equipment Fault Diagnosis Guangdong University of Petrochemical Technology)
Nouman, Muhammad (Guangdong Provincial Key Laboratory on Petrochemical Equipment Fault Diagnosis Guangdong University of Petrochemical Technology)
Umar, Muhammad Muneer (Department of Management and Information Technology Jubail Industrial College, Royal Commission for Jubail & Yanbu)
Song, Houbing (Department of Electrical and Computer Engineering, West Virginia University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.10, 2016 , pp. 4883-4901 More about this Journal
Abstract
Energy efficiency in Wireless Sensor Networks (WSNs) is very appealing research area due to serious constrains on resources like storage, processing, and communication power of the sensor nodes. Due to limited capabilities of sensing nodes, such networks are composed of a large number of nodes. The higher number of nodes increases the overall performance in data collection from environment and transmission of packets among nodes. In such networks the nodes sense data and ultimately forward the information to a Base Station (BS). The main issues in WSNs revolve around energy consumption and delay in relaying of data. A lot of research work has been published in this area of achieving energy efficiency in the network. Various techniques have been proposed to divide such networks; like grid division of network, group based division, clustering, making logical layers of network, variable size clusters or groups and so on. In this paper a new technique of group based WSNs is proposed by using some features from recent published protocols i.e. "Energy-Efficient Multi-level and Distance Aware Clustering (EEMDC)" and "Energy-Efficient Multi-level and Distance Aware Clustering (EEUC)". The proposed work is not only energy-efficient but also minimizes the delay in relaying of data from the sensor nodes to BS. Simulation results show, that it outperforms LEACH protocol by 38%, EEMDC by 10% and EEUC by 13%.
Keywords
ESBL; Chief Node; Group Based; Balancing Load; EEMDC; EEUC; Prolonging Network Life; Residual energy;
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