Intelligent Fuzzy Enabled Wireless Sensor Network Energy Optimization Scheme using IoT

Abstract

In this modern world, energy optimization is the major concern to deal with communication environments especially on Wireless Sensor Networks. Due to the rapid development of Wireless Sensor Network usages, the requirement of energy preservation is also increased in a drastic level. The energy preservation over communication medium is the most important logic to deal with such kind of network based communication model as well as the channel selection and packet forwarding is the most important tasks to take care with such mediums. A Wireless Sensor Networking based channel is considered to be the communication port, in which it takes care of carrying the information and data packets between source and destination entities. The wireless communication channel is containing many important things such as bandwidth, connectivity, connecting wires and so on. The specified things are necessary to carry the data packets between entities, in which the affection on the specified metrics causes the affection on network communications and cause a loss on data packets. The another important constrain is the packet forwarding principles, in which the data packets are moved to the respective selected channel for successful communication as well as the procedure is used to communicate the packets across the region based on the selected channel for communication. These processes are extensively taken care with the Wireless Sensor Network environment management scheme. Several literatures and analysts provide a huge solution to such things, but all are strucked up with certain level of precedence. In this paper, a new methodology is introduced to provide a successful data communication between source and destination based on WSN environment channel selection and packet forwarding principles, the proposed approach is called as Fuzzy based Neural Data Forwarding Scheme (FNDFS). This approach of FNDFS eliminates the unwanted data processing and delays to provide a successful communication between entities using two constraints such as Internet of Things (IoT) and the Fuzzy Logic. The concept of IoT is enabling a internet services to the WSN environment to make the communication between entities without any hurdles as well as the associated functions will be clearly illustrated over the further summaries. These logics are associated together to improve the overall energy efficiency level of the proposed approach in next level. This paper assures the usage of proposed approach FNDFS improves the level of WSN performance based on throughput enhancements, network lifetime improvements, energy efficiency and reduced end-to-end delay. These assured things are clearly proved with the graphical results emulated in resulting section of this paper.