A dynamic technique to enhance quality of service in software-defined network-based wireless sensor network (DTEQT) using machine learning

Author(s):  
S. Ananth ◽  
A. M. Kalpana ◽  
R. Vijayarajeswari

Wireless Sensor Network (WSN) is the interconnection between things or objects embedded with hardware and software. In WSN, small end devices (like sensors) and high end devices (like servers) are connected to the Internet. For WSN enabled in Software-Defined Network (SDN), the routers are controlled using a controller server node. It is a dynamic network due to the presence of mobile nodes and energy constrained nodes. The routing is the process of detecting route from source to target. In dynamic networks like WSN, routing is a challengeable task. This paper is to provide a routing solution for backboneless SDN-enabled WSN. The proposed work enhances routing Quality of Service (QoS) in WSN. The paths are dynamically reallocated to reduce the packet loss.

2018 ◽  
Vol 7 (2.26) ◽  
pp. 25
Author(s):  
E Ramya ◽  
R Gobinath

Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a challenging issue in Wireless Sensor Networks. In this paper, we review the quality of service parameters with respect to protocols, algorithms and Simulations. 


2011 ◽  
Vol 467-469 ◽  
pp. 325-330
Author(s):  
Feng Tian ◽  
Li Lei Fan ◽  
Xiao Ping Sun ◽  
Ai Min Yao ◽  
Hua Yan Liu

Energy balance of nodes in wireless sensor network is a difficult point. In this paper, analyze the performance of AODV routing protocol applied to the coal mine WSN environment which has less mobile nodes. Base on its characteristic of lacking of energy efficiency and optimal route selection considerations, an improvement of AODV routing protocol is carried out. Route discovery phase of the algorithm use a cost metric routing strategy, according to the energy level of nodes and the quality of links to calculate the routing cost, lower cost routing path will be selected. Between efficient routing and energy balance make an effective trade-off, improve the delivery rate of the network.


2019 ◽  
Vol 8 (4) ◽  
pp. 12377-12385

Wireless sensor network is formed with limited energy resources, easily compromised by an adversary because of hostile environments. Adversary may use compromised nodes to inject false reports and launch DoS attacks, thus, sensor nodes are prone to failure and which makes the network topology configurations highly dynamic in real world applications. A variety of en-route filtering schemes have been proposed to drop and defeat these attacks by using their own cryptographic methods. Some of them ask for a fixed path between a base station and each cluster, so they are not feasible for dynamic network. Additionally, other proposals do not consider various environmental variables in a dynamic environment, so they only choose static paths. In contrast, we consider topology changes, communication costs, the maximum number of key dissemination hops, and the spread of nodes for providing optimum filtering capacity. This paper presents a fuzzy-based adaptive multipath selection method in dynamic environment of a wireless sensor network. Our proposed method can adjust the optimized number of multipaths during key dissemination. Experimental results show that relatively higher filtering capacity with lower energy consumption and suitable nodes for highly dynamic networks.


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