Smartening the Environment using Wireless Sensor Networks in a Developing Country

The miniaturization process of various sensing devices has become a reality by enormous research and advancements accomplished in Micro Electro-Mechanical Systems (MEMS) and Very Large Scale Integration (VLSI) lithography. Regardless of such extensive efforts in optimizing the hardware, algorithm, and protocols for networking, there still remains a lot of scope to explore how these innovations can all be tied together to design Wireless Sensor Networks (WSN) for smartening the surrounding environment for some practical purposes. In this paper we explore the prospects of wireless sensor networks and propose a design level framework for developing a smart environment using WSNs, which could be beneficial for a developing country like Bangladesh. In connection to this, we also discuss the major aspects of wireless sensor networks.Comment: 5 page

Software Defined Networks based Smart Grid Communication: A Comprehensive Survey

The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid a.k.a., smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SG communication (SGC) system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. This article serves as a comprehensive survey on SDN-based SGC. In this article, we first discuss taxonomy of advantages of SDNbased SGC.We then discuss SDN-based SGC architectures, along with case studies. Our article provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC.Comment: Accepte

Experiences and issues for environmental engineering sensor network deployments

Sensor network research is a large and growing area of academic effort, examining technological and deployment issues in the area of environmental monitoring. These technologies are used by environmental engineers and scientists to monitor a multiplicity of environments and services, and, specific to this paper, energy and water supplied to the built environment. Although the technology is developed by Computer Science specialists, the use and deployment is traditionally performed by environmental engineers. This paper examines deployment from the perspectives of environmental engineers and scientists and asks what computer scientists can do to improve the process. The paper uses a case study to demonstrate the agile operation of WSNs within the Cloud Computing infrastructure, and thus the demand-driven, collaboration-intense paradigm of Digital Ecosystems in Complex Environments

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

Wireless sensor networks monitor dynamic environments that change rapidly over time. This dynamic behavior is either caused by external factors or initiated by the system designers themselves. To adapt to such conditions, sensor networks often adopt machine learning techniques to eliminate the need for unnecessary redesign. Machine learning also inspires many practical solutions that maximize resource utilization and prolong the lifespan of the network. In this paper, we present an extensive literature review over the period 2002-2013 of machine learning methods that were used to address common issues in wireless sensor networks (WSNs). The advantages and disadvantages of each proposed algorithm are evaluated against the corresponding problem. We also provide a comparative guide to aid WSN designers in developing suitable machine learning solutions for their specific application challenges.Comment: Accepted for publication in IEEE Communications Surveys and Tutorial

Concepts and evolution of research in the field of wireless sensor networks

The field of Wireless Sensor Networks (WSNs) is experiencing a resurgence of interest and a continuous evolution in the scientific and industrial community. The use of this particular type of ad hoc network is becoming increasingly important in many contexts, regardless of geographical position and so, according to a set of possible application. WSNs offer interesting low cost and easily deployable solutions to perform a remote real time monitoring, target tracking and recognition of physical phenomenon. The uses of these sensors organized into a network continue to reveal a set of research questions according to particularities target applications. Despite difficulties introduced by sensor resources constraints, research contributions in this field are growing day by day. In this paper, we present a comprehensive review of most recent literature of WSNs and outline open research issues in this field

Experiences and issues for environmental science sensor network deployments

Sensor network research is a large and growing area of academic effort, examining technological and deployment issues in the area of environmental monitoring. These technologies are used by environmental engineers and scientists to monitor a multiplicity of environments and services, and, specific to this paper, energy and water supplied to the built environment. Although the technology is developed by Computer Science specialists, the use and deployment is traditionally performed by environmental engineers. This paper examines deployment from the perspectives of environmental engineers and scientists and asks what computer scientists can do to improve the process. The paper uses a case study to demonstrate the agile operation of WSNs within the Cloud Computing infrastructure, and thus the demand-driven, collaboration-intense paradigm of Digital Ecosystems in Complex Environments

Strategi Efisiensi Wireless Sensor Network (WSN)

Abstrak: Wireless Sensor Network adalah teknologi yang berkembang pesat yang menawarkan potensi luar biasa untuk merevolusi banyak industri dan bidang. Wireless Sensor Network menjadi semakin populer karena keserbagunaannya, biaya yang rendah serta kemudahan dalam penerapannya. Terlepas dari keunggulan tersebut, masih ada beberapa tantangan yang perlu diatasi untuk mencapai kinerja tinggi dalam WSN yang terdistribusi secara total. Tujuan dari penelitian ini adalah menyajikan strategi ataupun solusi kepada user dalam kaitannya mencapai atau meningkatkan kinerja WSN yang berdampak pada keberhasilan pengumpulan data. Studi empiris dari peneliti-peneliti terkait menjadi metode pilihan yang digunakan.. Terdapat dua strategi yang diajukan untuk mencapai dan meningkatkan efisiensi WSN yaitu dengan pengoptimalan topologi jaringan sensor nirkabel dan memanfaatkan mode tidur. Adapun langkahnya dengan merencanakan penerapan node sensor, mengoptimalkan konsumsi energi melalui perutean yang efisien dan teknik agregasi data, mempertimbangkan skalabilitas dan lokalisasi, serta menggabungkan toleransi kesalahan dan ketahanan, jaringan dapat mencapai keseimbangan antara cakupan, konektivitas, efisiensi energi, dan ketahanan. Kata kunci: wireless sensor network, efisiensi, topologi jaringan, mode tidur jaringan.   Abstract: Wireless Sensor Networks are a rapidly evolving technology that offers tremendous potential to revolutionize many industries and fields. Wireless sensor networks are becoming increasingly popular because of their versatility, low cost and ease of implementation. Despite these advantages, there are still some challenges that need to be overcome to achieve high performance in a totally distributed WSN. The purpose of this study is to present strategies or solutions to users in relation to achieving or improving WSN performance which has an impact on the success of data collection. Empirical studies from related researchers are the method of choice used. There are two strategies proposed to achieve and improve WSN efficiency, namely by optimizing the wireless sensor network topology and utilizing sleep mode. The steps are by planning the implementation of sensor nodes, optimizing energy consumption through efficient routing and data aggregation techniques, considering scalability and localization, and combining fault tolerance and robustness, the network can achieve a balance between coverage, connectivity, energy efficiency, and resilience. Keywords: wireless sensor network, efficiency, network topology, network sleep mode