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This book provides a systematic treatment of the theoretical foundation and algorithmic tools necessary in the design of energy-efficient algorithms and protocols in wireless body sensor networks (WBSNs). These problems addressed in the book are of both fundamental and practical importance. Specifically, the book delivers a comprehensive treatment on the following problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization: energy-efficient clustering-based leader election algorithms in WBSNs; MAC protocol for duty-cycling WBSNs with concurrent traffic; multi-channel broadcast algorithms in duty-cycling WBSNs; and energy-efficient sleep scheduling algorithms in WBSNs. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on WBSNs and their applications, both from theoretical and engineering perspective.
Wireless networking covers a variety of topics involving many challenges. The main concern of clustering approaches for mobile wireless sensor networks (WSNs) is to prolong the battery life of the individual sensors and the network lifetime. For a successful clustering approach, the need of a powerful mechanism to safely elect a cluster head remains a challenging task in many research works that take into account the mobility of the network. In Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety, the authors use an approach based on computing of the weight of each node in the network as the proposed technique to deal with this problem. They present a virtual laboratory platform (VLP) of baptized mercury, allowing students and researchers to make practical work (PW) on different aspects of mobile wireless sensor networks. The authors’ choice of WSNs is motivated mainly by the use of real experiments needed in most college courses on WSNs. These usual experiments, however, require an expensive investment and many nodes in the classroom. The platform presented here aims at showing the feasibility, the flexibility, and the reduced cost using the authors’ approach. The authors demonstrate the performance of the proposed algorithms that contribute to the familiarization of the learners in the field of WSNs. The book will be a valuable resource for students in networking studies as well as for faculty and researchers in this area.
"This book focuses on wireless sensor networks and their operation, covering topics including routing, energy efficiency and management"--
In a wireless sensor network, small computing devices, called sensors, sense the surrounding environment and relay the sensed data to a base station over a multi-hop wireless network, eventually processing them en-route. Wireless sensor networks and other devices, such as smartphones, smart meters, and smart appliances, cooperate in smart environments to obtain information about the environment, and then use this information to improve the experience of the users. Since most of these systems rely on battery power, there is a need for energy-e cient solutions for their operation. The objective of this dissertation is to design algorithms and protocols to improve the energy efficiency of such systems, and validate them using mathematical analysis, software simulations, and testbed experiments. In the first part of the dissertation, we look at two fundamental problems in wireless sensor networks: localization and duty cycling. In the area of localization, we describe a novel protocol for duty cycling wireless actor and sensor networks, and present a mathematical analysis based on the coupon collector's problem and the theory of coverage processes, as well as simulation results. Our analysis and results show that the proposed protocol achieves the user-requested localization accuracy while maximizing the sleep time of sensor nodes. As far as duty cycling is concerned, we present novel Markov chain-based randomized schemes, and discuss the probabilistic analysis, as well as the experiments we conducted on Sun SPOT sensors. These results show that our proposed schemes reduce the sleep latency, while not a ecting other performance metrics such as the energy e ciency, or vice versa. In the second part of the dissertation, we shift our focus to smart environments, and present our research work on data fusion and visualization aimed to provide lay users with actionable information. We introduce a framework, called FuseViz, to leverage already existing data sources such as smartphones, online databases and services, and wireless sensor networks, while addressing the challenges posed by large, live, heterogeneous, and autonomous data streams. We demonstrate the concepts behind our framework with a case study in building energy e ciency, and introduce E2Home, a Web-based application for this problem developed on top of the framework. Preliminary experiment results for the proposed E2Home system not only show that the actionable information can be easily computed, but also demonstrate energy savings of about 10%. Finally, we conclude our dissertation with an overview of a system-level energy model, built using data from the above-mentioned sources, that can be tailored for each home, its location, and residents, and can help further minimize energy consumption.
Sensor networks provide applications in many diverse areas. This is for the simple fact that they are reliable, flexible, easily deployable and highly cost-effective. Smart sensors can provide such diverse services as detecting signs of machine failures, sensing earthquakes, onset of flooding and even provide a warning system for potential terrorist attacks. Because the sensors are untethered and battery powered, these networks have to maintain a high yield to the energy spent per sensor device. These yields translate into mainly throughputs and packet latencies while keeping the energy usage at the minimum. In this work, we look at the communication level energy usage within the sensor networks and propose novel scheme for channel access optimized for energy consumption and rate control algorithms for traffic engineering and congestion control in wireless sensor networks. The first involves a novel medium access protocol for wireless sensor networks. The protocol is based on exploiting the periodicity inherent in carrier sensing schemes like CSMA/CA combined with a relaxed time-access arbitration regime among the competing nodes. Transmission and reception of data frames are made to be strictly receiver triggered events which makes it possible to bring down idle-listening drastically. The protocol also provides a way to make the channel access collision-free among the two-degree neighbors. PMAC requires no additional control signaling and no network-wide synchronization. The protocol does not seek to make any tradeoff for the gains in energy efficiency with latency or throughput. It presents high-energy efficiency and throughput improvement in low as well as high-traffic scenarios of sleeping. In the second part, we propose novel rate-control algorithms for the wireless sensor networks. There has been a growth in personal area network technologies like Bluetooth etc to support various applications that require multimedia level QoS in a high interference environment. Applications such as voice data traffic, file transfers, periodic synching of electronic devices within the range of 10m-15m requires sophisticated yet simple channel access techniques that accommodate different QoS requirements of these applications. In this context, the new rate control algorithms were designed that reduces the interference and maximized the throughput and reliability parameters such as packet success rates, packet latency and aggregate throughput per flow. Moreover, the rate control algorithm also takes into account the fairness issues among the competing flows in terms of the bandwidth-share.
A complete guide to the state of the art theoretical and manufacturing developments of body sensor network, design, and algorithms In Body Sensor Networking, Design, and Algorithms, professionals in the field of Biomedical Engineering and e-health get an in-depth look at advancements, changes, and developments. When it comes to advances in the industry, the text looks at cooperative networks, noninvasive and implantable sensor microelectronics, wireless sensor networks, platforms, and optimization—to name a few. Each chapter provides essential information needed to understand the current landscape of technology and mechanical developments. It covers subjects including Physiological Sensors, Sleep Stage Classification, Contactless Monitoring, and much more. Among the many topics covered, the text also includes additions such as: ● Over 120 figures, charts, and tables to assist with the understanding of complex topics ● Design examples and detailed experimental works ● A companion website featuring MATLAB and selected data sets Additionally, readers will learn about wearable and implantable devices, invasive and noninvasive monitoring, biocompatibility, and the tools and platforms for long-term, low-power deployment of wireless communications. It’s an essential resource for understanding the applications and practical implementation of BSN when it comes to elderly care, how to manage patients with chronic illnesses and diseases, and use cases for rehabilitation.
Recent advances in Wireless Communication and Embedded Microprocessors have led to the development of small, low cost sensor devices. A wireless Sensor Network consists of a large number of sensors distributed over a geographical area with their locations either previously fixed or randomly deployed. Energy consumption is the most important factor to determine the life of a sensor network. Sensor nodes are driven by a battery and have very low energy resources. We have achieved optimization of energy and maximizing the network life through Network Coverage, Optimal deployment of multiple base stations to overcome bottleneck in single base station and clustering scheme that is completely controlled by the base station, Optimal Scheduling, Solving Dead End problem results in high packet delivery ratio to the base station and Impact of mobility models on performance of routing protocol with respect to Packet Delivery Ratio, Latency and Throughput in wireless sensor networks. Energy Efficient Algorithms and Performance Analysis are useful for students and research community pursuing in the field of Wireless Sensor Networks, Ubiquitous and Pervasive Computing.
Doctoral Thesis / Dissertation from the year 2017 in the subject Electrotechnology, grade: PhD, , course: Doctor of Philosophy, language: English, abstract: Wireless Sensor Networks (WSNs) is fast emerging as prominent study area that attracting considerable research attention globally. The field has seen tremendous development in design and development of application related interfaces with sensor networks. Sensor network finds applications in several domains such as medical, military, home networks, space and so on. Many researchers strongly believe that WSNs can become as important as the internet in the near future. Just as the internet allows access to digital information anywhere, WSNs could easily provide remote interaction with the physical world. It is going to be the backbone of Ubiquitous Computing (UBICOMP).Through local collaboration among sensors, elimination of duplicate data, participation of relevant nodes in the given task etc. can produce a significant difference in energy conservation, thereby increasing the life time of the sensor network. As the number of nodes increases, data security becomes the most challenging part of the network. The intruders can hack the data any time during processing, transmission or at the receiver end. So, as a popular approach data encryption is the most commendable approach in today’s network. Asymmetric key encryption consumes more energy in processing and so not recommended for WSNs. Symmetric key encryption gives better performance with respect to asymmetric key encryption in WSN applications. It uses less computational power due to relatively effortless mathematical operations, and eventually spends less power. This thesis also proposes a symmetric data encryption through Tabulation method of Boolean function reductionfor the WSNs for secure data transmission. It also suggests a new secure approach, SEEMd, Security Enabled Energy Efficient Middleware algorithmfor the critical data sensing and gives a second chance to the nodes before it falls into to sleep mode for energy management. WSNs are designed for applications which range from small-size healthcare surveillance systems to large-scale agricultural monitoring or environmental monitoring. Thus, any WSN deployment, data aggregation, processing and communication have to assure minimum Quality of Service (QoS) in the network from application to application. In this circumstances, the proposed algorithms in this thesis proved to be efficient and reliable in energy saving and life time enhancement.