Abstract
Wireless sensor network (WSN) is used to sense the environment, collect the data, and further transmit it to the base station (BS) for analysis. A synchronized tree-based approach is an efficient approach to aggregate data from various sensor nodes in a WSN environment. However, achieving energy efficiency in such a tree formation is challenging. In this research work, an algorithm named fuzzy attribute-based joint integrated scheduling and tree formation (FAJIT) technique for tree formation and parent node selection using fuzzy logic in a heterogeneous network is proposed. FAJIT mainly focuses on addressing the parent node selection problem in the heterogeneous network for aggregating different types of data packets to improve energy efficiency. The selection of parent nodes is performed based on the candidate nodes with the minimum number of dynamic neighbors. Fuzzy logic is applied in the case of an equal number of dynamic neighbors. In the proposed technique, fuzzy logic is first applied to WSN, and then min–max normalization is used to retrieve normalized weights (membership values) for the given edges of the graph. This membership value is used to denote the degree to which an element belongs to a set. Therefore, the node with the minimum sum of all weights is considered as the parent node. The result of FAJIT is compared with the distributed algorithm for Integrated tree Construction and data Aggregation (DICA) on various parameters: average schedule length, energy consumption data interval, the total number of transmission slots, control overhead, and energy consumption in the control phase. The results demonstrate that the proposed algorithm is better in terms of energy efficiency.
Highlights
Wireless sensor networks can be homogeneous or heterogeneous
It is observed that FAJIT results in better aggregation compared to DICA and DICA_EXTENSION
It results in smaller schedule length, reduction in energy consumption during the control phase, and data phase
Summary
Wireless sensor networks can be homogeneous or heterogeneous. When an application requires measurement of a single physical quantity, the network is considered as homogeneous, otherwise, it is a heterogeneous network. Some of the existing works [2,3,16] have already improved the data aggregation/energy efficiency of WSN without using any AI or fuzzy-based techniques [34,35]. On improvement of the aggregation technique, the average number of packets coming out per node decreases This results in a reduction in the required number of time slots and energy consumption. Instead of selecting the parent first and finding time-slot, it is better to select slot and parent together such that the node can transmit in the lowest possible slot This approach reduces the schedule length of the tree. – Proposes and implements the fuzzy attribute-based joint integrated scheduling and tree formation (FAJIT) algorithm for single-sink heterogeneous networks to improve energy efficiency in WSN. The problem of scheduling and parent selection in heterogeneous networks is formally defined . The subsequent section discusses the results of the proposed approach, and the final section concludes the paper
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