RFDCAR: Robust failure node detection and dynamic congestion aware routing with network coding technique for wireless se
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RFDCAR: Robust failure node detection and dynamic congestion aware routing with network coding technique for wireless sensor network T. Gobinath 1 & A. Tamilarasi 2 Received: 12 June 2019 / Accepted: 8 August 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract Wireless sensor networks is an attractive concept that is being implemented in all fields of work with diverse applications. Hence it is not a surprise that there are several wireless routing algorithms available and they mainly focus on reducing the consumption of energy in WSN, the direction of the fact that a sensor node point work on batteries. But algorithms do not study on these energy deficient nodes and their collision effects. There are various reasons for node failure that can fall under mechanical or electrical problems, battery depletion, environmental degradation or hostile tampering. But the most common failure of nodes occur due to limited energy availability. Failure caused due to a group of nodes can minimize the network paths. These activities can lead to failures in the subset of acting nodes resulting in a disconnected or no path situation from the network. This algorithm introduces the multipath node disjoint routing by combining local and global procedures for adaptive route. The capable nodes in the network are located using Lyapunoy optimization technique through network coding technique that enhances the operation and lifetime of the entire network. Through weight of the packet and along with the packet receiving ratio the algorithm separates the packets and route them to a different path to the base station thereby improving delivery and optimizing time and energy. Simulations are conducted in a NS3 environment and proved that this algorithm is efficient in performance than the existing methods. Keywords Congestion . Cut detection . Encoding . Node detection . Lyapunoy optimization technique . Multipath node disjoint routing . Time and energy
1 Introduction Wireless Sensor Network (WSN) [1] refers to the collection of spatially dispersed and devoted sensors in order to control and record the physical state of nature and to sort the data collected in a focal area. WSN are a robust network made of several sensor nodes that are cheap in cost, small in size, less expensive and consumes low-power. These sensor nodes can perform computing, sensing and it has its own storage and power systems. The sensed data is stored in the sensor nodes and then it is sent to the base station for further observation of information. The base This article is part of the Topical Collection: Special Issue on AI-based Future Intelligent Internet of Things Guest Editors: Kelvin K.L. Wong, Quan Zou, and Pourya Shamsolmoali * T. Gobinath [email protected] 1
Chettinad College of Engineering & Technology, Karur, India
2
Kongu Engineering College, Erode, India
station is advanced in features than the regular sensor nodes. They have the capacity to compute complex data and identify the required information related to the appli
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