Wireless Sensor Network Management and Functionality: An Overview Open Access (original) (raw)

Wireless Sensor Network Management and Functionality: An Overview

Wireless Sensor Network, 2009

Sensor networks are dense wireless networks of small, low-cost sensors, which collect and disseminate environmental data. Wireless sensor networks facilitate monitoring and controlling of physical environments from remote locations with better accuracy. They have applications in a variety of fields such as environmental monitoring; military purposes and gathering sensing information in inhospitable locations. Sensor nodes have various energy and computational constraints because of their inexpensive nature and adhoc method of deployment. Considerable research has been focused at overcoming these deficiencies through more energy efficient routing, localization algorithms and system design. Our survey presents the fundamentals of wireless sensor network, thus providing the necessary background required for understanding the organization, functionality and limitations of those networks. The middleware solution is also investigated through a critical presentation and analysis of some of the most well established approaches.

Number 646 A survey of Wireless Sensor Network technologies: research trends and middleware's role

Wireless Sensor Networks (WSNs) provide a new paradigm for sensing and disseminating information from various environments, with the potential to serve many and diverse applications. Current WSNs typically communicate directly with a centralized controller or satellite. On the other hand, a smart WSN consists of a number of sensors spread across a geographical area; each sensor has wireless communication capability and sufficient intelligence for signal processing and networking of the data. The structure of WSNs are tightly application-dependent, and many services are also dependent on application semantics (e.g. application-specific data processing combined with data routing). Thus, there is no single typical WSN application, and dependency on applications is higher than in traditional distributed applications. The application/middleware layer must provide functions that create effective new capabilities for efficient extraction, manipulation, transport, and representation of information derived from sensor data. In this paper, we report recent trends in wireless sensor network research including an overview of the various categories of WSN, a survey of WSN technologies and a discussion of existing research prototypes and industry applications. We focus on middleware technology, and describe details of some existing research prototypes, then address challenges and future perspectives on the middleware. This study highlights that middleware needs to provide a common interface for various functional components of WSN: detection and data collection, signal processing, data aggregation, and notification. By integrating sensing, signal processing, and communication functions, a WSN provides a natural platform for hierarchical information processing.

A Survey on Middleware for Wireless Sensor Networks

Journal of Wireless Networking and Communications, 2014

The wireless sensor network is an emerging field and it offers a wide variety of applications that include habitat monitoring, object tracking, environmental surveillance, military systems, health care, precision agriculture, building monitoring etc. However, due to their unique characteristics and the constraints they suffer from, sensor networks pose considerable challenges and make application development quite complicated .There is a necessity of an intermediate software layer between the sensor hardware and the sensor network applications that may be termed as middleware. Middleware is necessary in order to fully meet the design and implementation challenges of wireless sensor networks. In this paper, we highlight the main design challenges of wireless sensor networks and present a study on the existing middleware approaches for wireless sensor networks. We also discuss the scope of Quality of Service support at middleware layer for wireless sensor networks. The paper is concluded with future research directions in the middleware level to meet the requirements of emerging applications of wireless sensor networks.

A Survey on Middleware Challenges and Approaches for Wireless Sensor Networks

Wireless sensor networks (WSN) are used in many applications like environmental monitoring, infrastructure security, healthcare applications, and traffic control. The design issue of such applications must address related to challenges around WSN Characteristics on one hand and the applications on the other. Middleware is a software that provides a common platform for the heterogeneity in WSN, enabling multiple applications to work parallel on a distributed network. This paper surveys the work state of research in middleware design, development and general issues in designing a middleware for WSN. It also examines the various approaches of middleware design, the trends and challenges to be addressed when designing and developing these solutions for WSN.

Wireless Sensor Network: Issues & Challenges

International Journal of Mathematical Archive, 2011

Wireless sensor networks (WSNs) are a new and emerging type of sensor networks that contain sensor nodes equipped with a radio transceiver, other wireless communications devices like a small microcontroller and an energy source, usually a battery. Wireless sensor network is a wireless ad-hoc network that consists of spatially distributed devices that use sensors to monitor physical or environmental conditions. WSNs merge a wide range of information technology that spans computer hardware, systems software, networking and programming methodologies. WSNs make it possible to perceive what takes place in the physical world in ways not previously possible. In addition to offering the potential to advance many scientific pursuits, they also provide a vehicle for enhancing larger forms of productivity, such as manufacturing, agriculture, construction, and transportation. In this paper, we investigate various issues, applications and challenges in the field of wireless sensor network. We al...

Wireless Sensor Networks: Issues, Challenges and Survey of Solutions

charm.cs.uiuc.edu

Wireless ad-hoc sensor networks have recently emerged as a premier research topic. They have great long-term economic potential, ability to transform our lives and pose many new system-building challenges. Sensor networks pose a number of new conceptual and optimization problems such as location, deployment and tracking in that many applications rely on them for needed information. The past works are scattered across all of the systems layers: from physical layer to data link layer to network and application layer. In this report, we present an overview of wireless sensor networks and issues involved in employing them. We make an attempt to provide a snapshot of solutions proposed in recently published literature for different issues like Medium Access Control, Data Dissemination, Security and Coverage determination.

Wireless Sensor Networks: Applications

Wireless Sensor Networks - Design, Deployment and Applications, 2021

Wireless sensor networks consist of small nodes with identifying component by sensing, computation, and wireless communications infrastructure capabilities. Many path searching means routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. Routing protocols in WSNs might differ depending on the application and network architecture. Wireless Sensor Networks (WSNs) provide several types of applications providing comfortable and smart-economic life. A multidisciplinary research area such as wireless sensor networks, where close collaboration in some users, application domain experts, hardware designers, and software developers is needed to implement efficient systems. The easy molding, fault tolerance, high sensing fidelity, low price, and rapid deployment features of sensor networks create various new and thrilling application areas for remote sensing. In the future, this wide range of app...

Introduction to Wireless Sensor Networks its Applications and Use Cases

2020

WSNs are infrastructure-less networks that are why these networks can be easily deployed in any disaster situations like floods, battlefields, etc. They are easy, fast, and cost-effective to deploy for some limited period [3]. Due to the limited energy and open nature of WSNs the energy and security of the network become the major challenge. The network energy can be saved with the help of efficient routing which will enhance the network lifetime. In this paper various routing protocols like LEACH (Low Energy Adaptive Clustering Hierarchy), PEGASIS (Power-Efficient Gathering in Sensor Information Systems), etc. LEACH routing protocols are reviewed that are designed based on clustering architecture where the network is divided into various clusters also known as zones based on their energy.

IJERT-Middleware:Middleware Approaches and Evaluation Framework for Wireless Sensor Networks

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/middlewaremiddleware-approaches-and-evaluation-framework-for-wireless-sensor-networks https://www.ijert.org/research/middlewaremiddleware-approaches-and-evaluation-framework-for-wireless-sensor-networks-IJERTV3IS050815.pdf Now a days we have deployed so many WSNs to observe Environment and for process control in industry. Different Sensor use different hardware and communication protocol. We need a coherent infrastructure that bridge gap between WSN and application. In This Paper presents different middleware approaches and its evaluation framework designed for Wireless Sensor network. There is lots of existing middleware solutions available for WSN. We introduce different middleware approaches and categorize these middleware solutions. Based on four evaluation parameter these middleware solutions are compared and analyzed in this paper. Evaluation results are shown in this paper represent some ideas to build middleware solution based on application requirements and also open new issues for further research in wireless sensor network.