Multi-Agent-Based Acoustic Sensor Node Deployment in Underwater Acoustic Wireless Sensor Networks

2020 ◽  
Vol 13 (4) ◽  
pp. 136-155
Author(s):  
Basaprabhu S. Halakarnimath ◽  
Ashok V. Sutagundar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Node ◽  
Propagation Loss ◽  
Wireless Sensor ◽  
Acoustic Sensor ◽  
Underwater Acoustic ◽  
Agent Based ◽  
Node Deployment ◽  
Multi Agent

The deployment of acoustic sensor nodes in 3-D underwater acoustic wireless sensor networks (UAWSN) is a difficult task due to various aquatic conditions and physical obstacles. This work proposes multi-agent-based acoustic sensor node deployment (MASD) to deploy the acoustic nodes at ideal positions to enhance coverage and seamless connectivity. The proposed scheme works is threefold: 1) AUV initiates random walk in the network to gather the information and prospective common reference points; 2) the base station gets this information through surface buoys and computes the routing path, feasible locations for deploying new nodes; and 3) AUV collects this information and follows the path to deploy nodes with the help of agents. The multi-agent-enabled deployment framework (MADF) is proposed to support the deployment process at each level of the proposed MASD scheme. The performance of propagation loss, coverage, and overhead tradeoffs are analyzed to validate the proposed scheme. Mobility issues can be further re-investigated in shallow water as a future direction to the MASD scheme.

scholarly journals Energy Efficient Sensor Node Deployment Scheme for Two Stage Routing Protocol of Wireless Sensor Networks assisted IoT

2020 ◽  
Vol 18 (2) ◽  
pp. 158-169
Author(s):  
Anshu Kumar Dwivedi ◽  
Awadhesh Kumar Sharma ◽  
Pawan Singh Mehra
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Sensor Node ◽  
Golden Ratio ◽  
Real Life ◽  
Wireless Sensor ◽  
Two Stage ◽  
Node Deployment

Now a day wireless sensor networks (WSNs) is an essential unit of the internet of things (IoT). IoT theater a vital role in real-time applications which is more useful in real life. Due to its small price and potential use, WSNs have shown importance in different applications over the past year. Health concerns, environmental observation, human protection, military operations, surveillance systems, etc. WSNs have a small device called a sensor node (SN) that has a limited battery. IoT based WSNs consume more energy in sensor node communication. Therefore a Novel energy-efficient sensor node deployment scheme for two-stage routing protocol (EE- DSTRP) has been proposed to reduce the energy consumption of sensor nodes and extend the lifetime of the network. Sensor node deployment is a novel approach based on the golden ratio. All traditional protocols divide network zones for communication. No existing protocols tell about the sensor node deployment ratio in each zone. The deployment method is an important factor in reducing the energy usage of a network. To validate its efficiency, in this article, simulation results prove that the proposed IoT based EE-DSTRP protocol is superior to other existing protocols.

Passive Sensor Based Multiple Objects Tracking and Association Method in Wireless Sensor Networks

2009 ◽  
Vol 5 (5) ◽  
pp. 596-618
Author(s):  
Shung Han Cho ◽  
Jinseok Lee ◽  
Sangjin Hong ◽  
WeDuke Cho
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Acoustic Sensor ◽  
Multiple Objects ◽  
Objects Tracking ◽  
Multiple Sensor ◽  
Association Method

This article presents a method for dynamic data association in wireless sensor networks and addresses the issue of multiple objects tracking. The sensor node used in this article incorporates RFID reader and an acoustic sensor so that two different signals are cooperating for tracking and associating multiple objects. The RFID tag is used for object identification and an acoustic sensor is used for estimating object movements. In the heterogeneous sensor networks, our proposed association method is analyzed with association success, failure, and recovery cases. In addition, 2-dimensional (2D) particle filtering is used for estimating a objects state such as position and velocity. The performance is compared between a single sensor node and multiple sensor nodes in our proposed algorithm. In addition, the association performance with multiple sensor nodes is evaluated as a function of sampling time and object movement behavior. Finally, the effect of the two heterogeneous sensors range difference is analyzed and discussed.

Wireless Sensor Networks Deployment Based on Monte Carlo Method

2014 ◽  
Vol 568-570 ◽  
pp. 573-576
Author(s):  
Qiang Wei Xin ◽  
Ding Yi Fang
Keyword(s):  
Wireless Sensor Networks ◽  
Monte Carlo ◽  
Sensor Networks ◽  
Monte Carlo Method ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Node Deployment ◽  
Monitoring Task ◽  
Accuracy Requirement ◽  
Algorithm Base

How to use the least nodes to complete the monitoring task is an important problem about deploying in wireless sensor networks (WSN). We present MBT algorithm, base on Monte Carlo method combines the edge betweenness and signal transition distance, in order to study sensor node deployment problem. The proposed algorithm of sensor node deployment can meet the demand or the monitoring accuracy requirement of the premise, and reduce the number of nodes. Simulation experiments show that MBT algorithm can reduce the required nodes of deploying.

A survey on agent learning architecture that adopts internet of things and wireless sensor networks

2020 ◽  
pp. 2030002
Author(s):  
T. Joshva Devadas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Swot Analysis ◽  
Wireless Sensor ◽  
Agent Architectures ◽  
Agent Based ◽  
Intelligent Software ◽  
Agent Learning ◽  
Multi Agent

Trustworthy and reliable applications built using intelligent software agents aim to provide improved performance using its characteristics. Agents introduced in various architectures represent its functionality as functional elements of the architecture and shows the interaction between other components present in the architecture. The Internet of things (IoT) reveals as a frequent technology that allows accessing the physical objects present in the world. IoT systems utilize wireless sensor network to transmit and receive data by establishing communication. Wireless Sensor Networks transmits digital signals to the cyber-world for analyzing and processing the information into useful data by either formulating or communicating with the intelligent and innovative system. While talking about IoT and WSN, agents introduced in such environments assist in making decisions quickly by perceiving the input from the environment. The number of agents needed for an application depends upon the complexity of the problem. Multi-Agent architectures discussed in the article describe their association, roles, functionality and interaction. This paper gives a detailed survey of various agent/multi-agent learning architectures introduced over IoT and WSN. Moreover, this survey with the performance and the SWOT analysis on the Agent-based learning architecture helps the reader and paves a way to pursue research on Agent-based architectural deployment over IoT and WSN paradigms.

scholarly journals Coverage-Guaranteed Sensor Node Deployment Strategies for Wireless Sensor Networks

Sensors ◽  
2010 ◽  
Vol 10 (3) ◽  
pp. 2064-2087 ◽  
Author(s):  
Gaojuan Fan ◽  
Ruchuan Wang ◽  
Haiping Huang ◽  
Lijuan Sun ◽  
Chao Sha
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Node Deployment
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