A forwarding strategy based on ANFIS in internet-of-things-oriented wireless sensor network (WSN) using a novel fuzzy-based cluster head protocol

Abstract

To give the complete description of an environment or to take a robust decision, a number of observations are collected and combined from the multiple sensor nodes. The process of combining and analyzing the observations is called multisensor data fusion. The fusion is used to produce more consistent, accurate, and useful information than that provided by any individual sensor node. For efficiency, data fusion is performed on the sensed sample collected by sensor nodes. However, fusion on the network path parameters is also essential to select an appropriate forwarding route for sending the data. In addition, to increase the lifetime of a network, an efficient strategy is needed in order to select a cluster head node. Therefore, in this paper, we propose a multisensor data fusion (MDF) strategy which performs fusion on collected network parameters for the selection of an appropriate path with collaboration of Fuzzy-based cluster head selection (FBCHS). Jointly, we named the strategy as the MDF-FBCHS strategy for IoT-oriented WSN. Extensive simulations were made, and related results showed that our proposed scheme has better performance compared with other schemes in our simulated scenarios.