Energy-efficient Collaborative Communications for Wireless Sensor Networks PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Energy-efficient Collaborative Communications for Wireless Sensor Networks PDF full book. Access full book title Energy-efficient Collaborative Communications for Wireless Sensor Networks by Syed Husnain Abbas Naqvi. Download full books in PDF and EPUB format.
Author: Syed Husnain Abbas Naqvi Publisher: ISBN: Category : Wireless communication systems Languages : en Pages : 183
Book Description
In this thesis an energy efficient collaborative communication system for wireless sensor networks is presented in order to reduce the energy consumption of wireless sensor networks in the presence of AWGN and Rayleigh fading without decreasing the quality of service of data transmission. Due to the reduction of energy consumption of wireless sensor networks, the life time of sensor networks is extended. In collaborative communications, a set of transmitter nodes transmits the same data at the same time towards a common receiver, denoted as the base station, where the received signals are combined coherently. A coherently combined signal at the receiver indicates that a large amount of transmitted power is combined; this is referred to as constructive interference. As a result of this constructive interference, collaborative communications produce a substantial power gain, as well as a considerable reduction in bit error rate and a significant gain in capacity. The main focus in this thesis is on theoretical aspects of the development of a collaborative communication system. The key factors that degrade the performance of collaborative communication systems i.e., phase, frequency and time synchronization errors, are identified. A synchronization process is designed to reduce the phase and frequency synchronization errors among the collaborative nodes and the base station. The theoretical model of the collaborative communication system with imperfect phase and frequency synchronization in the presence of AWGN and Rayleigh fading is proposed, modelled, theoretically analyzed and simulated. The performance of collaborative communication system is evaluated by investigating several figures of merit. The considered figures of merit are received power, bit error rate, energy efficiency and channel capacity. The theoretical findings of the collaborative communication system are verified using Monte Carlo simulation by considering the parameters of off-the-shelf products i.e., CC2420 and AT86RF212. Closed form expressions are derived for the received power as a function of number of collaborative nodes, bit error rate (BER) as a function of SNR (Eb/N0) and channel capacity as a function of signal to noise ratio and the number of collaborative nodes. To analyze the energy efficiency of the proposed collaborative communication system, the energy consumption of the collaborative communication system is modelled, simulated and analyzed. The analytical and simulation results showed that the proposed collaborative communication system produces significant power gain, a reduction in BER and significant capacity gain in the presence of phase errors, frequency errors, AWGN and Rayleigh fading. A detailed theoretical analysis and Monte Carlo simulation revealed that the proposed collaborative communication system is an energy efficient communication system that can be implemented in sensor networks, as approximately N (number of collaborative nodes) times less the total transmitted power is required than for the single input single output (SISO) communication for a specifies transmission range.
Author: Syed Husnain Abbas Naqvi Publisher: ISBN: Category : Wireless communication systems Languages : en Pages : 183
Book Description
In this thesis an energy efficient collaborative communication system for wireless sensor networks is presented in order to reduce the energy consumption of wireless sensor networks in the presence of AWGN and Rayleigh fading without decreasing the quality of service of data transmission. Due to the reduction of energy consumption of wireless sensor networks, the life time of sensor networks is extended. In collaborative communications, a set of transmitter nodes transmits the same data at the same time towards a common receiver, denoted as the base station, where the received signals are combined coherently. A coherently combined signal at the receiver indicates that a large amount of transmitted power is combined; this is referred to as constructive interference. As a result of this constructive interference, collaborative communications produce a substantial power gain, as well as a considerable reduction in bit error rate and a significant gain in capacity. The main focus in this thesis is on theoretical aspects of the development of a collaborative communication system. The key factors that degrade the performance of collaborative communication systems i.e., phase, frequency and time synchronization errors, are identified. A synchronization process is designed to reduce the phase and frequency synchronization errors among the collaborative nodes and the base station. The theoretical model of the collaborative communication system with imperfect phase and frequency synchronization in the presence of AWGN and Rayleigh fading is proposed, modelled, theoretically analyzed and simulated. The performance of collaborative communication system is evaluated by investigating several figures of merit. The considered figures of merit are received power, bit error rate, energy efficiency and channel capacity. The theoretical findings of the collaborative communication system are verified using Monte Carlo simulation by considering the parameters of off-the-shelf products i.e., CC2420 and AT86RF212. Closed form expressions are derived for the received power as a function of number of collaborative nodes, bit error rate (BER) as a function of SNR (Eb/N0) and channel capacity as a function of signal to noise ratio and the number of collaborative nodes. To analyze the energy efficiency of the proposed collaborative communication system, the energy consumption of the collaborative communication system is modelled, simulated and analyzed. The analytical and simulation results showed that the proposed collaborative communication system produces significant power gain, a reduction in BER and significant capacity gain in the presence of phase errors, frequency errors, AWGN and Rayleigh fading. A detailed theoretical analysis and Monte Carlo simulation revealed that the proposed collaborative communication system is an energy efficient communication system that can be implemented in sensor networks, as approximately N (number of collaborative nodes) times less the total transmitted power is required than for the single input single output (SISO) communication for a specifies transmission range.
Author: Milosav Andelic Publisher: ISBN: Category : Computer network protocols Languages : en Pages : 168
Book Description
As human sensory structures are often restricted to sensing a small range of visual, hearing, smell, taste, and touch events, the need for extending humans' limited sensory abilities has been a driving force for research, inventions and innovations that have led to discoveries of tools such as wireless sensor nodes. Wireless sensor nodes are inexpensive, multifunctional devices capable of extending humans' limited sensory abilities and they can be used easily to form wireless sensor networks (WSNs), which have a wide range of potential applications. Since wireless sensor nodes are typically battery-powered, a major concern in the design of WSNs is energy conservation as these networks are expected to operate autonomously for long periods. Therefore, this thesis presents a thorough research effort that has investigated ways of improving energy efficiency of WSNs. First, a theoretical model of a WSN's lifetime was established. The model includes collaborative communication and enabled communication techniques to be identified that minimize idle listening and maximise collision avoidance, both of which waste energy. Then the Collaborative Event Driven Energy Efficient Protocol (CEDEEP), which ensures energy efficient operation of one-hop, event-driven WSNs, was introduced. CEDEEP takes advantage of the spatiotemporal correlation of wireless sensor nodes' reporting in event-driven WSNs and uses collaborative communication to conserve energy. The presented analytical results prove the viability of this approach and show that CEDEEP offers considerable improvements in energy efficiency. Subsequently, a novel Energy Efficient Collision Avoidance Method (EECAM) for CEDEEP was proposed. EECAM makes possible higher energy savings by introducing node prioritization based on the distinctive properties of the CEDEEP protocol and event-driven WSN applications. Furthermore, a stochastic model of the one-hop network was developed and the higher energy efficiency of CEDEEP with EECAM was illustrated using the IEEE 802.15.4 and Sift protocols. Therefore, this thesis provides diverse analytical models and offers strong evidence that use of CEDEEP with EECAM, as an event-driven protocol, contributes considerably to the energy efficiency of event-driven WSNs. In this way not only has a superior event-driven protocol been proposed, but a robust basis for future research focused on energy-efficient, event-driven protocols for WSNs has been established.
Author: Goyal, Nitin Publisher: IGI Global ISBN: 1799836428 Category : Technology & Engineering Languages : en Pages : 339
Book Description
Underwater wireless sensor networks (UWSN) are envisioned as an aquatic medium for a variety of applications including oceanographic data collection, disaster management or prevention, assisted navigation, attack protection, and pollution monitoring. Similar to terrestrial wireless sensor networks (WSN), UWSNs consist of sensor nodes that collect the information and pass it to a base station; however, researchers have to face many challenges in executing the network in an aquatic medium. Energy-Efficient Underwater Wireless Communications and Networking is a crucial reference source that covers existing and future possibilities of the area as well as the current challenges presented in the implementation of underwater sensor networks. While highlighting topics such as digital signal processing, underwater localization, and acoustic channel modeling, this publication is ideally designed for machine learning experts, IT specialists, government agencies, oceanic engineers, communication experts, researchers, academicians, students, and environmental agencies concerned with optimized data flow in communication network, securing assets, and mitigating security attacks.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
Wireless sensor networks consist of a large number of low power devices equipped with RF links for communication that have numerous military, civil and environmental monitoring applications. The energy constraints due to limited battery power present several design challenges. In this thesis we propose a cluster based framework and a localized and deterministic schedule based on TDMA/FDMA MAC protocol for the nodes in a neighborhood to communicate with each other. We also present a three phase collaboration algorithm that entails exchanging messages to determine the local maximum in a region in terms of received energy from the source. This helps in minimizing the redundancy in reporting events and saves energy. We also introduce a robust data aggregation approach for queries targeting selective regions of the network. Extensive simulations show that there is a significant reduction in the overall network traffic and in the energy expended by the nodes.
Author: Vidushi Sharma Publisher: CRC Press ISBN: 149878335X Category : Computers Languages : en Pages : 297
Book Description
The advances in low-power electronic devices integrated with wireless communication capabilities are one of recent areas of research in the field of Wireless Sensor Networks (WSNs). One of the major challenges in WSNs is uniform and least energy dissipation while increasing the lifetime of the network. This is the first book that introduces the energy efficient wireless sensor network techniques and protocols. The text covers the theoretical as well as the practical requirements to conduct and trigger new experiments and project ideas. The advanced techniques will help in industrial problem solving for energy-hungry wireless sensor network applications.
Author: Ju Ren Publisher: Springer ISBN: 3319603183 Category : Technology & Engineering Languages : en Pages : 120
Book Description
This monograph addresses the spectrum-scarcity problem by providing a comprehensive overview of spectrum resource management in Cognitive Radio Sensor Networks (CRSNs). It shows a variety of CRSN applications covering Machine-to-Machine communications, cyber physical systems and Internet-of-Things. The authors explore the benefits of an integrated energy efficient spectrum management solution for CRSNs including spectrum sensing, decision and allocation. Both theoretical and experimental aspects of CRSNs are covered in detail. Academics, researchers and developers will find this monograph an exceptional resource with valuable knowledge and insights. It also has extensive references from top journals, conference proceedings, books and standards.
Author: Oualid Demigha Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Wireless Sensor Networks is an emerging technology enabled by the recent advances in Micro-Electro-Mechanical Systems, that led to design tiny wireless sensor nodes characterized by small capacities of sensing, data processing and communication. To accomplish complex tasks such as target tracking, data collection and zone surveillance, these nodes need to collaborate between each others to overcome the lack of battery capacity. Since the development of the batteries hardware is very slow, the optimization effort should be inevitably focused on the software layers of the protocol stack of the nodes and their operating systems. In this thesis, we investigated the energy problem in the context of collaborative applications and proposed an approach based on node selection using predictions and data correlations, to meet the application requirements in terms of energy-efficiency and quality of data. First, we surveyed almost all the recent approaches proposed in the literature that treat the problem of energy-efficiency of prediction-based target tracking schemes, in order to extract the relevant recommendations. Next, we proposed a dynamic clustering protocol based on an enhanced version of the Distributed Kalman Filter used as a prediction algorithm, to design an energy-efficient target tracking scheme. Our proposed scheme use these predictions to anticipate the actions of the nodes and their roles to minimize their number in the tasks. Based on our findings issued from the simulation data, we generalized our approach to any data collection scheme that uses a geographic-based clustering algorithm. We formulated the problem of energy minimization under data precision constraints using a binary integer linear program to find its exact solution in the general context. We validated the model and proved some of its fundamental properties. Finally and given the complexity of the problem, we proposed and evaluated a heuristic solution consisting of a correlation-based adaptive clustering algorithm for data collection. We showed that, by relaxing some constraints of the problem, our heuristic solution achieves an acceptable level of energy-efficiency while preserving the quality of data.
Author: Gupta, Govind P. Publisher: IGI Global ISBN: 1799816281 Category : Computers Languages : en Pages : 319
Book Description
With the rapid growth of technology in society, communication networks have become a heavily researched topic. Implementing these advanced systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and nature-inspired computing has become a prevalent technique among researchers for solving these complex problems within communication networks. Despite its popularity, this specific computing technique lacks the appropriate amount of research that is needed for professionals to grasp a definite understanding. Nature-Inspired Computing Applications in Advanced Communication Networks is a collection of innovative research on the methods and applications of natural computation techniques and algorithms within communication systems such as wireless sensor networks, vehicular adhoc networks, and internet of things. While highlighting topics including mobile sensor deployment, routing optimization, and sleep scheduling, this book is ideally designed for researchers, network professionals, computer scientists, mathematicians, developers, scholars, educators, and students seeking to enhance their understanding of nature-inspired computing and its solutions within various advanced communication networks.
Author: Zaman, Noor Publisher: IGI Global ISBN: 1466601027 Category : Technology & Engineering Languages : en Pages : 656
Book Description
"This book focuses on wireless sensor networks and their operation, covering topics including routing, energy efficiency and management"--
Author: Ramanan Subramanian Publisher: ISBN: Category : Ad hoc networks (Computer networks) Languages : en Pages :
Book Description
This work focuses on the performance characterization of distributed collaborative ad-hoc networks, focusing on such metrics as the lifetime, latency, and throughput capacity of two such classes of networks. The first part concerns modeling and optimization of static Wireless Sensor Networks, specifically dealing with the issues of energy efficiency, lifetime, and latency. We analyze and characterize these performance measures and discuss various fundamental design tradeoffs. For example, energy efficiency in wireless sensor networks can only be improved at the cost of the latency (the delay incurred during communication). It has been clearly shown that improvement in energy efficiency through data aggregation increases the latency in the network. In addition, sleep-active duty cycling of nodes (devices constituting the network), a commonly employed mechanism to conserve battery lifetime in such networks, has adverse effects on their functionality and capacity. Hence these issues deserve a detailed study.
Author: Syed Husnain Abbas Naqvi
Author: Syed Husnain Abbas Naqvi
Author: Milosav Andelic
Author: Goyal, Nitin
Author: 
Author: Vidushi Sharma
Author: Ju Ren
Author: Oualid Demigha
Author: Gupta, Govind P.
Author: Zaman, Noor
Author: Ramanan Subramanian