Improvise Route Discovery and Radio Duty Cycle in WSN using SDN.

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Vikram Dhiman ◽  
Manoj Kumar ◽  
Ajay K Sharma
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Power Consumption ◽  
Duty Cycle ◽  
Computation Time ◽  
Wireless Sensor ◽  
Route Discovery ◽  
Software Defined Network ◽  
Computational Costs ◽  
Result Analysis

In the conventional Wireless Sensor Network, every mote role is to collect data, discover route and then sends the packet to its neighbor to reach a destination, consequently demanding both computation time and power. Pertaining to same, a promising framework is required to mitigate both power consumption and computational costs of the nodes inside the network. It also required sufficient planning and proper execution of the strategies. In this way, an attempted to gain benefits of a Software Defined Network (SDN) approach in Wireless Sensor Networks (WSN) We have proposed a W-SDN framework for the traditional network using OpenFlow protocol and controller. The goal is to investigate the significant impact of SDN in WSN. Result analysis of the designed framework is proposed using the following parameters Radio Duty cycle, flow request, delay, and latency for QoS

Optimal Power Consumption Analysis of Two-Level Hierarchical Model and Non-Hierarchical Model

2013 ◽  
Vol 347-350 ◽  
pp. 1732-1737
Author(s):  
Gang Lin Zhang ◽  
Guang Can Liu ◽  
Wei Bing Chen ◽  
Cheng Yang
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Power Consumption ◽  
Hierarchical Model ◽  
Optimal Location ◽  
Wireless Sensor ◽  
Optimal Power ◽  
Critical Problems ◽  
Consumption Model ◽  
Best Parameter

Energy scarcity is one of the most critical problems that occur in wireless sensor networks compared to traditional networks. However, the problem has been partly solved by building the power consumption model of WSN. This paper is based on a simple wireless sensor network model, it gives the optimal location of the CH nodes in a cluster and the best parameter about how to divided the cluster amongst hierarchy networks. As shown last, the proposed scheme can save up to 95% of power consumption.

scholarly journals Experimental Investigation of Optimal Relay Position for Magneto-Inductive Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2720 ◽  
Author(s):  
Gang Qiao ◽  
Muhammad Muzzammil ◽  
Niaz Ahmed ◽  
Irfan Ullah
Keyword(s):  
Wireless Sensor Networks ◽  
Experimental Investigation ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Power Consumption ◽  
Relay Node ◽  
Wireless Sensor ◽  
Significant Cost ◽  
Wave Guides ◽  
Communication Distance

Magneto-inductive (MI) waveguide technology is often proposed to increase the MI communication distance without adding significant cost and power consumption to the wireless sensor network. The idea is to add intermediate relaying nodes between transmitter (Tx) and receiver (Rx) to relay the information from Tx to Rx. Our study of MI wave-guides has realized that adding a relay node improves the communication distance, however, the performance is greatly dependent on the position of the relaying node in the network. We therefore, in this work have investigated the effect of placement of a relay node and have determined the optimal relay position. We have performed various sets of experiments to thoroughly understand the behavior and identified three main regions: (a) for region 1, when the distance between Tx and Rx is equal or less than the diameter of the coils ( d ≤ 2 r ), the optimal relay position is close to Tx, (b) for region 2, when the distance between Tx and Rx is greater than diameter of the coils but less than twice the diameter ( 2 r < d < 4 r ), the optimal relay position lies in the center of Tx and Rx, and (c) for region 3, when the distance between the Tx and Rx is equal or greater than twice the diameter of the coils ( d ≥ 4 r ), the optimal relay position is close to Rx.

scholarly journals Energy Efficient Auto–Configurable Algorithm for Wireless Sensor Networks

2015 ◽  
Vol 66 (3) ◽  
pp. 149-153
Author(s):  
Mohammad Rokon Uddin ◽  
Mohammad Abdul Matin ◽  
Mohammad Kamal Hossain Foraji ◽  
Baizid Hossain
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Power Consumption ◽  
Sensor Network ◽  
Network Topology ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Lower Power ◽  
Cellular Architecture

Abstract This paper proposed an auto-configurable algorithm for wireless sensor network (WSN) to efficiently re-organize the network topology. The auto-configurable algorithm is based on self- configurable cellular architecture and it has been observed from simulation result that the proposed algorithm achieves lower power consumption than the existing one.

Based on RSSI Ranging Technology for DV-Hop Localization Algorithm of Wireless Sensor Network

2012 ◽  
Vol 442 ◽  
pp. 360-365 ◽  
Author(s):  
Yang Jun Zhong
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Approximate Calculation ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Positioning Accuracy ◽  
Original Algorithm ◽  
Approximate Distance ◽  
Anchor Nodes ◽  
Simulation Results

For the DV-Hop algorithm of wireless sensor networks,there is an error arising problem that anchor nodes and location node hop distance is only an approximate calculation. A method based on the original Algorithm introducing RSSI ranging technique is proposed.Using RSSI ranging technology,we accord that if the anchor nodes is only a hop away from the location node,then decide whether using the DV-Hop algorithm to approach to the approximate distance between them. Simulation results show that the algorithm can effectively improve the error problems of calculating the hop distance between the anchor nodes and the location nodes, meanwhile improve the positioning accuracy of the node.

scholarly journals Energy Aware Simple Ant Routing Algorithm for Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Sohail Jabbar ◽  
Rabia Iram ◽  
Muhammad Imran ◽  
Awais Ahmad ◽  
Anand Paul ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Large Scale ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Route Discovery ◽  
Route Selection ◽  
Energy Aware ◽  
Forwarding Node

Network lifetime is one of the most prominent barriers in deploying wireless sensor networks for large-scale applications because these networks employ sensors with nonrenewable scarce energy resources. Sensor nodes dissipate most of their energy in complex routing mechanisms. To cope with limited energy problem, we present EASARA, an energy aware simple ant routing algorithm based on ant colony optimization. Unlike most algorithms, EASARA strives to avoid low energy routes and optimizes the routing process through selection of least hop count path with more energy. It consists of three phases, that is, route discovery, forwarding node, and route selection. We have improved the route discovery procedure and mainly concentrate on energy efficient forwarding node and route selection, so that the network lifetime can be prolonged. The four possible cases of forwarding node and route selection are presented. The performance of EASARA is validated through simulation. Simulation results demonstrate the performance supremacy of EASARA over contemporary scheme in terms of various metrics.

scholarly journals Performance metrics in wireless sensor networks :a survey and outlook

2018 ◽  
Vol 7 (2.26) ◽  
pp. 25
Author(s):  
E Ramya ◽  
R Gobinath
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Metrics ◽  
Resource Constraints ◽  
Sensor Data ◽  
Wireless Sensor

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. 

Sign in / Sign up

Export Citation Format

Share Document