An intelligent approach for energy efficient trajectory design for mobile sink based IoT supported wireless sensor netwo
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An intelligent approach for energy efficient trajectory design for mobile sink based IoT supported wireless sensor networks S. K. Sathya Lakshmi Preeth 1 & R. Dhanalakshmi 2 & P. Mohamed Shakeel 3 Received: 13 May 2019 / Accepted: 2 August 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract In WSN, mobility of the sink node is worthwhile since it creates potential way to gather information from sensor nodes through direct communication. To mitigate the delay experienced during the visiting period of entire network cluster head nodes, a mobile sink only gather information from limited special nodes called as rendezvous points and rest of cluster head nodes transmit their information to the nearby RP. It is extremely problematic to discover an optimal group of rendezvous points and decide the trajectory of mobile sink. In this paper, propose an intelligent approach for energy efficient trajectory design called Neuro fuzzy Emperor Penguin Optimization (NF-EPO) approach for mobile sink based IoT supported WSNs. This paper presented an adaptive Neuro fuzzy inference system (ANFIS) for optimal cluster head selection. Here, we considered the three input parameters of residual energy, neighbour node sharing and node behaviour history to choose the best CH. Finally, the effective routing algorithm of emperor penguin optimization (EPO) is used to find the rendezvous points and travelling path for mobile sink. The simulation outcomes illustrate that proposed method provides superior performance compared to other existing routing schemes. The efficiency of the system is determined using different metrics network lifetime, energy consumption with static and dynamic sink, end to end delay, bit error rate, packet loss ratio, buffer occupancy, channel load, jitter, latency, packet delivery ratio, and throughput. Keywords Mobile sink . Cluster head selection . IoT . Rendezvous points . Routing and WSN
1 Introduction WSN contains finite amount of sensor nodes. Each node contains a sensing unit to detect the singularity and to associate the network in favour of data transmission transceiver is used. For serving power, the separated node contains a power unit and storage unit and data processing a small processing unit is used [1]. By evaluating the physical parameters of humidity, pressure and temperature, it utilized to observe the surroundings or system [2]. Mostly sensors are powered by battery and distributed in hostile environments. But it is difficult for individuals get access to them. Also low-cost sensors and non-rechargeable battery outcome in
* S. K. Sathya Lakshmi Preeth [email protected] 1
Department of Computer Science and Engineering, National Institute of Technology Nagaland, Chumukedima, Dimapur 797103, India
2
Department of Computer Science and Engineering, National Institute of Technology Puduchery, Karaikal, Puducherry 609609, India
3
Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
developing energy mechanism of
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