Wireless sensor devices in medical applications: an overview

2020 ◽  
pp. 117-131
Author(s):  
Samuel Nii Tackie ◽  
Kamil Dimililer ◽  
Fadi Al-Turjman
Keyword(s):  
Wireless Sensor ◽  
Medical Applications ◽  
Sensor Devices

Ubiquitous Earthquake Observation System Using Wireless Sensor Devices

2008 ◽  
pp. 673-679 ◽  
Author(s):  
Hirokazu Miura ◽  
Yosuke Shimazaki ◽  
Noriyuki Matsuda ◽  
Fumitaka Uchio ◽  
Koji Tsukada ◽  
...  
Keyword(s):  
Wireless Sensor ◽  
Observation System ◽  
Sensor Devices ◽  
Earthquake Observation

Application of Computational Intelligence Techniques in Wireless Sensor Networks the State of the Art

2020 ◽  
pp. 1580-1600
Author(s):  
Subhendu Kumar Pani
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Computational Intelligence ◽  
State Of The Art ◽  
Area Coverage ◽  
Wireless Sensor ◽  
Coverage Problem ◽  
Sensor Devices ◽  
Huge Variety

A wireless sensor network may contain hundreds or even tens of thousands of inexpensive sensor devices that can communicate with their neighbors within a limited radio range. By relaying information on each other, they transmit signals to a command post anywhere within the network. Worldwide market for wireless sensor networks is rapidly growing due to a huge variety of applications it offers. In this chapter, we discuss application of computational intelligence techniques in wireless sensor networks on the coverage problem in general and area coverage in particular. After providing different types of coverage encountered in WSN, we present a possible classification of coverage algorithms. Then we dwell on area coverage which is widely studied due to its importance. We provide a survey of literature on area coverage and give an account of its state-of-the art and research directions.

Application of Computational Intelligence Techniques in Wireless Sensor Networks the State of the Art

2016 ◽  
pp. 441-461
Author(s):  
Subhendu Kumar Pani
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Computational Intelligence ◽  
State Of The Art ◽  
Area Coverage ◽  
Wireless Sensor ◽  
Coverage Problem ◽  
Sensor Devices ◽  
Huge Variety

A wireless sensor network may contain hundreds or even tens of thousands of inexpensive sensor devices that can communicate with their neighbors within a limited radio range. By relaying information on each other, they transmit signals to a command post anywhere within the network. Worldwide market for wireless sensor networks is rapidly growing due to a huge variety of applications it offers. In this chapter, we discuss application of computational intelligence techniques in wireless sensor networks on the coverage problem in general and area coverage in particular. After providing different types of coverage encountered in WSN, we present a possible classification of coverage algorithms. Then we dwell on area coverage which is widely studied due to its importance. We provide a survey of literature on area coverage and give an account of its state-of-the art and research directions.

A Comparative Review of Moveable Sensor Location Identification

2015 ◽  
Vol 3 (2) ◽  
pp. 20-37 ◽  
Author(s):  
Jeril Kuriakose ◽  
Sandeep Joshi
Keyword(s):  
Sensor Network ◽  
Recent Decade ◽  
Wireless Sensor ◽  
Location Information ◽  
Large Network ◽  
Special Device ◽  
Comparative Review ◽  
Sensor Devices ◽  
Location Identification ◽  
Mobile Wireless Sensor

The evolutions in proficient resources, route discovery protocols, simplicity in hardware design, and other aspects have enabled the wireless sensor networks to have a steady rise in the recent decade. Lately, people started favouring moveable devices in the place of static devices, which brought moveable sensor network into focus. Location information continuously plays a key role in Mobile wireless sensor network (MWSN) and exact location identification has continuously been a test for moveable sensor devices. Installing GPS receivers for every device would also solidify network installation cost for a large network. The unavailability of GPS in covered and underground surrounding has put the installation of GPS into problem. This makes the sensor devices to detect its location coordinates or location reference without using GPS, and is achieved with the help of a special device that knows its location coordinates and protocols, called anchor device. The authors' goal is to confer diverse location identification techniques used by moveable sensor devices to detect their location information. Complications and future issues have also been deliberated.

Exploring Coverage within Wireless Sensor Networks through Evolutionary Computations

2010 ◽  
pp. 191-200
Author(s):  
Sami Habib
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Search Space ◽  
Service Area ◽  
Wireless Sensor ◽  
Coverage Problem ◽  
Evolutionary Computations ◽  
Placement Problem ◽  
Sensor Devices ◽  
Computationally Intensive

The evolutionary search approach has demonstrated its effectiveness in many real world applications, such as the coverage problem in wireless sensor networks. It is to place sensor devices in a service area so that the entire service area is covered. We have modeled the coverage problem as two sub-problems: floorplan and placement. The floorplan problem is to partition the service area into well-defined geometric cells, where the placement problem is to assign the sensor devices into a set of cells. Even though the search space has been transformed from continuous into discrete, the complexity of the coverage problem is computationally intensive. The objective function is to maximize the coverage of the service area while not exceeding a given budget. The merged optimization problem has been coded into the genetic algorithm (GA) and the experimental results reveal the versatility of GA to adapt and find a good solution in a short time.

Secured and flexible user authentication protocol for wireless sensor network

2020 ◽  
Vol 8 (4) ◽  
pp. 253-265
Author(s):  
Prabu P ◽  
Senthilnathan T
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
User Authentication ◽  
Authentication Protocol ◽  
Vital Role ◽  
Wireless Sensor ◽  
Content Type ◽  
Effective Manner ◽  
Sensor Devices ◽  
Brute Force Attack

PurposeIn wireless sensor network (WSN), user authentication plays as a vital role in which data sensing, as well as sharing, will be spoiled by hackers. To enhance user security, user authentication must be focused.Design/methodology/approachIn previous works, for secured authentication, Enhanced User Authentication Protocol (EUAP) is presented. On the other hand, the user free password generation is permitted in the previous technique.FindingsHere, password leakage may cause a malevolent user's contribution to the WSN environment. By presenting the Flexible and Secured User Authentication Protocol (FSUAP), this is solved in the presented technique in which secured as well as reliable sharing of data contents via unsecured wireless sensor devices was accomplished.Originality/valueThe foremost objective of the present technique is to device the protocol that would verify the users beforehand letting them access the sensor devices situated in various sites. The use of a sensor device could be reduced in a significant way. Three-factor authentication protocols are presented in place of two-factor authentication protocol in the presented technique that could deal with and safeguard the environment from a brute force attack in an effective manner.

A Range Based Localization Error Minimization Technique for Wireless Sensor Network

2017 ◽  
Vol 7 (2) ◽  
pp. 395 ◽  
Author(s):  
Sudha H. Thimmaiah ◽  
Mahadevan G
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Base Station ◽  
Ease Of Use ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Time Of Arrival ◽  
Localization Error ◽  
Estimation Model ◽  
Sensor Devices

<p>Wireless sensor network (WSN) is composed of low cost, tiny sensor that communicates with each other and transmit sensory data to its base station/sink. The sensor network has been adopted by various industries and organization for their ease of use and is considered to be the most sorted future paradigm. The sensor devices are remotely deployed and powered by batteries. Preserving the energy of sensor devices is most desired. To preserve the battery efficient routing technique is needed. Most routing technique required prior knowledge of sensor nodes location in order to provide energy efficiency. Many existing technique have been proposed in recent time to determine the position of sensor nodes. The existing technique proposed so for suffers in estimating the likelihood of localization error. Reducing the error in localization is most desired. This work present a (Time-of-Arrival) based localization technique and also present adaptive information estimation model to reduce/approximate the localization error in wireless sensor network. The author compares our proposed localization model with existing protocol and analyses its efficiency.</p>

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