Analysis of Sensors’ Coverage through Application-Specific WSN Provisioning Tool

2012 ◽  
pp. 306-317
Author(s):  
Sami J. Habib
Keyword(s):  
Graphical User Interface ◽  
Search Space ◽  
Wireless Sensor ◽  
Coverage Area ◽  
Coverage Ratio ◽  
Custom Made ◽  
X Cells ◽  
The Cost ◽  
The Relationship ◽  
Application Specific

This paper presents an automated provisioning tool for the deployment of sensors within wireless sensor networks (WSN) where we have employed evolutionary approach as a search technique to find the maximal coverage under minimal deployment cost. The coverage area is partitioned into M by N cells to reduce the search space from continuous to discrete by considering the placement of sensors at the centroid of each cell. The author has explored the relationship between various cell’s sizes versus the total number of deployed sensors. The experimental results show that when the number of cells to cover the service area from X by X cells to 2X by 2X cells is increased, on average this increases the cost by 3 folds. In this regard, it is due to the increase of the number of required sensors by an average of six folds, while improving the coverage ratio by only 9%. A custom-made graphical user interface (GUI) has been developed and embedded within the proposed automated provisioning tool to illustrate the deployment area with the placed sensors at step of the deployment process.

Analysis of Sensors’ Coverage through Application-Specific WSN Provisioning Tool

2011 ◽  
Vol 3 (1) ◽  
pp. 51-62
Author(s):  
Sami J. Habib
Keyword(s):  
Search Space ◽  
Wireless Sensor ◽  
Search Technique ◽  
Coverage Area ◽  
Coverage Ratio ◽  
Custom Made ◽  
X Cells ◽  
The Cost ◽  
The Relationship ◽  
Application Specific

This paper presents an automated provisioning tool for the deployment of sensors within wireless sensor networks (WSN) where we have employed evolutionary approach as a search technique to find the maximal coverage under minimal deployment cost. The coverage area is partitioned into M by N cells to reduce the search space from continuous to discrete by considering the placement of sensors at the centroid of each cell. The author has explored the relationship between various cell’s sizes versus the total number of deployed sensors. The experimental results show that when the number of cells to cover the service area from X by X cells to 2X by 2X cells is increased, on average this increases the cost by 3 folds. In this regard, it is due to the increase of the number of required sensors by an average of six folds, while improving the coverage ratio by only 9%. A custom-made graphical user interface (GUI) has been developed and embedded within the proposed automated provisioning tool to illustrate the deployment area with the placed sensors at step of the deployment process.

Distributed Scheduling Protocols for Energy Efficient Large-Scale Wireless Sensor Networks

2011 ◽  
pp. 233-248
Author(s):  
Cheng Fu ◽  
Bang Wang
Keyword(s):  
Large Scale ◽  
Distributed Scheduling ◽  
Wireless Sensor ◽  
Surveillance Systems ◽  
Sensor Scheduling ◽  
Application Development ◽  
Coverage Area ◽  
Power Conservation ◽  
Coverage Ratio ◽  
Scheduling Protocols

A major design challenge in wireless sensor network application development is to provide appropriate middleware service protocols to control the energy consumption according to specific application scenarios. In common application scenarios such as in monitoring or surveillance systems, it is usually necessary to extend the system monitoring area as large as possible to cover the maximal area. The two issues of power conservation and maximizing the coverage area have to be considered together with both the sensors’ communication connectivity and their power management strategy. In this chapter,the authors proposed novel enhanced sensor scheduling protocols to address the application scenario of typical surveillance systems. Their protocols take into consideration of both power conservation and coverage ratio to search for the balance between the different requirements. They proposed both centralized and de-centralized sensor scheduling versions, and compared the performance of different algorithms using several metrics. The results provide evidence of the advantages of our proposed protocols comparing with existing sensor scheduling protocols.

scholarly journals MARKOV MODEL OF WIRELESS SENSOR NETWORK AVAILABILITY

2020 ◽  
pp. 491-498
Author(s):  
Maryna Kolisnyk ◽  
Dmytro Kochkar ◽  
Vyacheslav Kharchenko
Keyword(s):  
Sensor Networks ◽  
Forest Fires ◽  
Markov Models ◽  
Fire Detection ◽  
Wireless Sensor ◽  
Network Coverage ◽  
Coverage Area ◽  
Coverage Ratio ◽  
Network Availability ◽  
Forest Fire Detection

The use of wireless sensor networks (WSN) in industry and for forest fire detection has recently become increasingly popular. Assessment of the availability of such networks is an important task, since they perform essential functions in critical situations. Sensor networks can be used to prevent and detect forest fires, and they must meet high availability requirements. Various options for organizing the WSN system are considered - with and without recovery. For such systems, the paper evaluates the probability of no-failure operation, as well as the readiness function, taking into account the network coverage ratio. In the paper the Markov WSN model for evaluating its availability function is developed taking into account the network coverage area. The obtained graphical dependencies allow us to evaluate how a change in the failure rate of sensors or system equipment affects the availability function value. The goal of this paper is to obtain metrics to assess the availability of system for monitoring forest by WSN and the availability function of a network using the Markov models. A special metric, so-called coverage availability factor is suggested in this paper taking into account different combinations of sensor failures which influence on completeness of monitoring forest fires.

scholarly journals A Voronoi Based Coverage Enhancement for Wireless Sensor Networks

2020 ◽  
Vol 9 (3) ◽  
pp. 3845-3850
Keyword(s):  
Physical Distance ◽  
Energy Utilization ◽  
Wireless Sensor ◽  
Sensor Deployment ◽  
Sensor Coverage ◽  
Commercial Development ◽  
Coverage Area ◽  
The Cost ◽  
Coverage Holes ◽  
Modern Technologies

Wireless sensor network which competes with the modern technologies also paves the way for research and commercial development. Mobile and static sensors form a network that balances sensor coverage and the cost of the sensor. For this a thorough study of the coverage area and mobility of mobile sensor node is necessary. Coverage in wireless networks invoke the observation of physical distance enclosed by the sensors. Voronoi diagrams are used to find out the coverage holes and design movement – assisted sensor deployment protocols, VEC that works on the principle of moving sensors whereas Voronoi based works on the basis of load balancing. The algorithms gain sensor energy stabilization and small effect of deployment energy utilization. Its effectiveness is examined in terms of coverage, uniformity, time and distance. Key words - Sensor deployment,

The Awareness Level of the Safety and Health of the Operational Level

2017 ◽  
Vol 3 (1) ◽  
pp. 42
Author(s):  
Roshanira Che Mohd Noor ◽  
Nur Atiqah Rochin Demong
Keyword(s):  
Health And Safety ◽  
Health Conditions ◽  
Effective Strategies ◽  
Operational Level ◽  
Safety And Health ◽  
Health Factors ◽  
The Cost ◽  
The Relationship ◽  
Awareness Level

Providing a safe and healthy workplace is one of the most effective strategies in for holding down the cost of doing construction business. It was a part of the overall management system to facilitate themanagement of the occupational health and safety risk that are associated with the business of the organization. Factors affected the awareness level inclusive of safety and health conditions, dangerous working area, long wait care and services and lack of emergency communication werethe contributed factors to the awareness level for the operational level. Total of 122 incidents happened at Telekom Malaysia Berhad as compared to year 2015 only 86 cases. Thus, the main objective of this study was to determine the relationship between safety and health factors and the awareness level among operational workers.The determination of this research was to increase the awareness level among the operational level workerswho committing to safety and health environment.

Active and Trust Based Packet Transfer Method via Route Tracking for Wireless Sensor Networks

2019 ◽  
Vol 8 (6S2) ◽  
pp. 221-224
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Sensor Systems ◽  
Remote Sensor ◽  
Dynamic Source ◽  
Transfer Method ◽  
The Cost ◽  
Ebb And Flow ◽  
The Way

Trust is critical in remote sensor systems to exchange the information from source to goal. The Dynamic Source Protocol computes the substitute way, if any hub neglects to exchange the information. The Dynamic Source Protocol does not have any worked in usefulness to figure a substitute way if the way has a vindictive hub. With the cost of an interloper recognition framework we can identify the vindictive hub and modify the information/parcel exchange way. Notwithstanding, gatecrasher location framework is extremely costly for remote sensor systems and there is no certification in identifying a malevolent hub. In the ebb and flow look into a trust-based approach is prescribed to limit the overheads of gatecrasher location framework and it likewise recognizes the anomalous conduct hubs. The proposed demonstrate utilizes the rehashed recreations to distinguish flawed hubs through the agreeable exertion in the sensor organize and additionally judges the trust of progressive hubs. Reenactments were exhibited for standardized result of parcel dropping, normal rebate result, and trust connection.

Deterministic Deployment for Wireless Image Sensor Nodes

2014 ◽  
Vol 8 (1) ◽  
pp. 668-674
Author(s):  
Junguo Zhang ◽  
Yutong Lei ◽  
Fantao Lin ◽  
Chen Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Visual Information ◽  
Image Sensor ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Coverage Area ◽  
Effective Coverage ◽  
Area Of Interest ◽  
Key Issues

Wireless sensor networks composed of camera enabled source nodes can provide visual information of an area of interest, potentially enriching monitoring applications. The node deployment is one of the key issues in the application of wireless sensor networks. In this paper, we take the effective coverage and connectivity as the evaluation indices to analyze the effect of the perceivable angle and the ratio of communication radius and sensing radius for the deterministic circular deployment. Experimental results demonstrate that the effective coverage area of the triangle deployment is the largest when using the same number of nodes. When the nodes are deployed in the same monitoring area in the premise of ensuring connectivity, rhombus deployment is optimal when √2 < rc / rs < √3 . The research results of this paper provide an important reference for the deployment of the image sensor networks with the given parameters.

Pound Wise and Penny Foolish? Weight Loss and The Dynamics of Health Care Spending

2011 ◽  
Vol 14 (2) ◽  
Author(s):  
Thomas G Koch
Keyword(s):  
Weight Loss ◽  
Cost Savings ◽  
Cost Effective ◽  
Economic Consequences ◽  
Health Care Spending ◽  
Order Of Magnitude ◽  
Dynamic Measures ◽  
The Cost ◽  
The Impact ◽  
The Relationship

Current estimates of obesity costs ignore the impact of future weight loss and gain, and may either over or underestimate economic consequences of weight loss. In light of this, I construct static and dynamic measures of medical costs associated with body mass index (BMI), to be balanced against the cost of one-time interventions. This study finds that ignoring the implications of weight loss and gain over time overstates the medical-cost savings of such interventions by an order of magnitude. When the relationship between spending and age is allowed to vary, weight-loss attempts appear to be cost-effective starting and ending with middle age. Some interventions recently proven to decrease weight may also be cost-effective.

Localization of WSN using Distributed Particle Swarm Optimization algorithm with precise references

2016 ◽  
Vol 7 ◽  
pp. 1
Author(s):  
Ravichander Janapati ◽  
Ch. Balaswamy ◽  
K. Soundararajan
Keyword(s):  
Particle Swarm Optimization ◽  
Search Algorithm ◽  
Particle Swarm ◽  
Search Space ◽  
Research Area ◽  
Population Based ◽  
Wireless Sensor ◽  
Cooperative Localization ◽  
Localization Algorithm ◽  
Swarm Optimization

Localization is the key research area in wireless sensor networks. Finding the exact position of the node is known as localization. Different algorithms have been proposed. Here we consider a cooperative localization algorithm with censoring schemes using Crammer Rao bound (CRB). This censoring scheme  can improve the positioning accuracy and reduces computation complexity, traffic and latency. Particle swarm optimization (PSO) is a population based search algorithm based on the swarm intelligence like social behavior of birds, bees or a school of fishes. To improve the algorithm efficiency and localization precision, this paper presents an objective function based on the normal distribution of ranging error and a method of obtaining the search space of particles. In this paper  Distributed localization of wireless sensor networksis proposed using PSO with best censoring technique using CRB. Proposed method shows better results in terms of position accuracy, latency and complexity.  

Sign in / Sign up

Export Citation Format

Share Document