Design and Development of Novel Performance Improvement Techniques for ZigBee Packet Transmission Under Wi-Fi Interference 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 Design and Development of Novel Performance Improvement Techniques for ZigBee Packet Transmission Under Wi-Fi Interference PDF full book. Access full book title Design and Development of Novel Performance Improvement Techniques for ZigBee Packet Transmission Under Wi-Fi Interference by Tianyu Du. Download full books in PDF and EPUB format.
Author: Tianyu Du
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Tianyu Du
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Chonggang Wang
Publisher: CRC Press
ISBN: 1439816026
Category : Computers
Languages : en
Pages : 378
Get Book Here
Book Description
Compared with other wireless communication technologies, such as Bluetooth, WiFi, and UWB, ZigBee is a far more reliable, affordable, and energy-efficient option. It is also the only global wireless communication standard for easily deployed, low-power consumption products.ZigBee Network Protocols and Applications provides detailed descriptions of
Author: Gaotao Shi
Publisher: Springer
ISBN: 3319478060
Category : Technology & Engineering
Languages : en
Pages : 96
Get Book Here
Book Description
This book systematically summarizes the fundamentals of WiFi and ZigBee from different levels and provides the detailed theoretical and experimental results for signal interference between these two wireless data transmission technologies. The existing mechanisms and methods of interference mitigation, avoidance and co-existence are carefully explored. Both collaboration and cross-technology communication between WiFi and ZigBee are also introduced as key research trends. Due to the popularity of WiFi and ZigBee, which share the same ISM frequency band, interference is a common problem and addressed in a wide range of literature. This book condenses the newest research results into an approachable format. This is an essential resource for professionals and students in wireless networks as well as network engineers, designers, or planners seeking a backbone of knowledge in WiFi and ZigBee networks.
Author: Shahin Farahani
Publisher: Newnes
ISBN: 008055847X
Category : Technology & Engineering
Languages : en
Pages : 364
Get Book Here
Book Description
ZigBee is a short-range wireless networking standard backed by such industry leaders as Motorola, Texas Instruments, Philips, Samsung, Siemens, Freescale, etc. It supports mesh networking, each node can transmit and receive data, offers high security and robustness, and is being rapidly adopted in industrial, control/monitoring, and medical applications. This book will explain the ZigBee protocol, discuss the design of ZigBee hardware, and describe how to design and implement ZigBee networks. The book has a dedicated website for the latest technical updates, ZigBee networking calculators, and additional materials. Dr. Farahani is a ZigBee system engineer for Freescale semiconductors Inc. The book comes with a dedicated website that contains additional resources and calculators: http://www.learnZigBee.com Provides a comprehensive overview of ZigBee technology and networking, from RF/physical layer considerations to application layer development Discusses ZigBee security features such as encryption Describes how ZigBee can be used in location detection applications Explores techniques for ZigBee co-existence with other wireless technologies such as 802.11 and Bluetooth The book comes with a dedicated website that contains additional resources and calculators: http://www.learnZigBee.com
Author: Drew Gislason
Publisher: Newnes
ISBN: 0080558623
Category : Technology & Engineering
Languages : en
Pages : 442
Get Book Here
Book Description
ZigBee is a standard based on the IEEE 802.15.4 standard for wireless personal networks. This standard allows for the creation of very lost cost and low power networks - these applications run for years rather than months. These networks are created from sensors and actuators and can wireless control many electrical products such as remote controls, medical, industrial, and security sensors. Hundreds of companies are creating applications including Mitsubishi, Motorola, Freescale, and Siemens. This book is written for engineers who plan to develop ZigBee applications and networks, to understand how they work, and to evaluate this technology to see if it is appropriate to a particular project. This book does not simply state facts but explains what ZigBee can do through detailed code examples. Details how to plan and develop applications and networks Zigbee sensors have many applications including industrial automation, medical sensing, remote controls, and security Hot topic for today's electrical engineer because it is low cost and low power
Author: Stefano Tennina
Publisher: Springer Science & Business Media
ISBN: 3642373682
Category : Technology & Engineering
Languages : en
Pages : 173
Get Book Here
Book Description
This book outlines the most important characteristics of IEEE 802.15.4 and ZigBee and how they can be used to engineer Wireless Sensor Network (WSN) systems and applications, with a particular focus on Quality-of-Service (QoS) aspects. It starts by providing a snapshot of the most relevant features of these two protocols, identifying some gaps in the standard specifications. Then it describes several state-of-the-art open-source implementations, models and tools that have been designed by the authors and have been widely used by the international community. The book also outlines the fundamental performance limits of IEEE 802.15.4/ZigBee networks, based on well-sustained analytical, simulation and experimental models, including how to dimension such networks to optimize delay/energy trade-offs.
Author: Srikar Meka
Publisher:
ISBN: 9781085612197
Category : Electrical engineering
Languages : en
Pages : 78
Get Book Here
Book Description
Estimation of links in a Wireless Sensor Network and using such estimates to decide between all the multiple paths available in a network is important. There are several link estimation methods available. This thesis evaluates the performance of PRR based method (P-success method), suggested in the ZigBee specification and LQI based method (LQI method) used by different organizations, in various scenarios. The performance of these two link cost estimation methods is also compared under Wi-Fi interference. This comparison is done using a network simulator (NS3). It is observed that, if there is no Wi-Fi interference, both the P-success and LQI methods perform very similarly. In the presence of Wi-Fi interference, P-success method performs better than the LQI method. Based on the observations from the comparison of the two link cost estimation methods, this thesis proposes an improvement by combining the two existing methods into a new method called Pl + LQI method. Performance of the new method was evaluated by comparing it with P-success and LQI method. This new method (Pl + LQI) performs similarly as the P-Success method in scenarios with Wi-Fi interference, and perform similarly, or better than the LQI-based method in scenarios without Wi-Fi interference.
Author: Harvy Younan
Publisher:
ISBN: 9781267309129
Category : Local area networks (Computer networks)
Languages : en
Pages : 182
Get Book Here
Book Description
Abstract: The increase of ZigBee popularity and usage in different Home Area Networks (HAN) exert a new challenge for operating ZigBee in an environment that is already using Wi-Fi. Sharing the spectrum between these two wireless technologies affect the functionality of ZigBee as it may cause a high packet error rate (PER) and major drop in the throughput. In this thesis we studied the effect of Wi-Fi interference on ZigBee channels by using the Cognitive Radio as Spectrum Analyzer and computed the packet error rate of each of the ZigBee channels. The results that we have obtained contradict the previous analytical and simulation results in which the effect of Wi-Fi on ZigBee has been studied. In the previous works, the authors assumed that the in-band interference signal of the Wi-Fi is a limited Adaptive White Gaussian Noise (AWGN). Therefore, their results were based only on the interference level on each of the ZigBee channels. In this work, we prove that the aforementioned assumption does not hold in all cases. Therefore, the obtained results are based on the interference level and distribution of the interference on each of the ZigBee channels.
Author: Fang Yao
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
The Institute of Electrical and Electronics Engineers (IEEE) 802.15.4 standard presents a very useful technology for implementing low-cost, low-power, wireless sensor networks. Its main focus, which is to applications requiring simple wireless connectivity with relaxed throughout and latency requirements, makes it suitable for connecting devices that have not been networked, such as industrial and control instrumentation equipments, agricultural equipments, vehicular equipments, and home appliances. Its usage of the license-free 2.4 GHz frequency band makes the technique successful for fast and worldwide market deployments. However, concerns about interference have arisen due to the presence of other wireless technologies using the same spectrum. Although the IEEE 802.15.4 standard has provided some mechanisms, to enhance capability to coexist with other wireless devices operating on the same frequency band, including Carrier Sensor Multiple Access (CSMA), Clear Channel Assessment (CCA), channel alignment, and low duty cycle, it is essential to design and implement adjustable mechanisms for an IEEE 802.15.4 based system integrated into a practical application to deal with interference which changes randomly over time. Among the potential interfering systems (Wi-Fi, Bluetooth, cordless phones, microwave ovens, wireless headsets, etc) which work on the same Industrial, Scientific, and Medical (ISM) frequency band, Wi-Fi systems (IEEE 802.11 technique) have attracted most concerns because of their high transmission power and large deployment in both residential and office environments. This thesis aims to propose a methodology for IEEE 802.15.4 wireless systems to adopt proper adjustment in order to mitigate the effect of interference caused by IEEE 802.11 systems through energy detection, channel agility and data recovery. The contribution of this thesis consists of five parts. Firstly, a strategy is proposed to enable IEEE 802.15.4 systems to maintain normal communications using the means of consecutive transmissions, when the system s default mechanism of retransmission is insufficient to ensure successful rate due to the occurrence of Wi-Fi interference. Secondly, a novel strategy is proposed to use a feasible way for IEEE 802.15.4 systems to estimate the interference pattern, and accordingly adjust system parameters for the purpose of achieving optimized communication effectiveness during time of interference without relying on hardware changes and IEEE 802.15.4 protocol modifications. Thirdly, a data recovery mechanism is proposed for transport control to be applied for recovering lost data by associating with the proposed strategies to ensure the data integrity when IEEE 802.15.4 systems are suffering from interference. Fourthly, a practical case is studied to discuss how to design a sustainable system for home automation application constructed on the basis of IEEE 802.15.4 technique. Finally, a comprehensive design is proposed to enable the implementation of an interference mitigation strategy for IEEE 802.15.4 based ad hoc WSNs within a structure of building fire safety monitoring system. The proposed strategies and system designs are demonstrated mainly through theoretical analysis and experimental tests. The results obtained from the experimental tests have verified that the interference caused by an IEEE 802.11 system on an IEEE 802.15.4 system can be effectively mitigated through adjusting IEEE 802.15.4 system s parameters cooperating with interference pattern estimation. The proposed methods are suitable to be integrated into a system-level solution for an IEEE 802.15.4 system to deal with interference, which is also applicable to those wireless systems facing similar interference issues to enable the development of efficient mitigation strategies.
Author: Saeed Bagheri Sereshki
Publisher:
ISBN: 9781321362046
Category :
Languages : en
Pages :
Get Book Here
Book Description
The common thread of the research in this dissertation is to introduce novel interference resilient techniques in multiuser wireless communication systems where the goal of these techniques is to improve system throughput or efficiency and guarantee reliable communication. More specifically, in the first part, we consider the problem of multiplexing wireless data transmission in two-way communication (TWC) channels. Using traditional wireless packet switching methods bidirectional communication tends to double the interference (or time) needed to complete the session. We propose new interference resilient schemes by combining the so called ``two-way relaying'' scheme with a distributed randomized space-time block coding (RSTBC) strategy. RSTBC is a decentralized cooperative technique that ensures diversity gains through the recruitment of multiple uncoordinated relays, with virtually no signaling overhead to enlist relays. In this problem, RSTBC is applied to two-way relaying wireless networks which, when two terminals want to send a message to each other, can potentially improve the network throughput by allowing them to exchange data over two or three time slots via bidirectional relay communications. Specifically, two decode-and-forward (DF) relaying strategies are considered which take up only two time slots. In the first slot the two sources transmit simultaneously. In the former scheme which we refer to as decode and forward both (DFB) RSTBC, only relays which can reliably decode both source blocks via joint maximum likelihood (ML) decoding cooperate, and do so by modulating the bit-level XOR of the decoded data through a single RSTBC. In the latter scheme called decode and forward any (DFA) RSTBC, the relays cooperate in the second slot also when they can decode only one of the two source data. In this case each source data that is decoded is mapped into an independent RSTBC. If the relay decoded reliably both sources, after cancellation of the strong interference, then it sends the two RSTBCs encoding the symbol vectors from each of the sources. A randomized forwarding scheme is also proposed for three-time-slot relaying, which is also a DFA strategy, although without joint decoding or interference cancellation after the first slot. In addition to more judicious transmission and relaying policies, a key ingredient of future wireless network will be enhanced spectrum sensing. This is motivated by the wide adoption of Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) systems, which offer significant degrees of freedom in encoding data, but at the same time result in a complex spatio-temporal landscape of interference. We combine recent advances in array processing and compressed channel sensing, to solve the problem of estimating the covariance of an asynchronous network of MIMO-OFDM sources. We specifically focus on spectrum sensing (SS) in cognitive radio (CR) systems, since it is of paramount importance to approach the capacity limits for the Secondary Users (SU), while ensuring the undisturbed transmission of Primary Users (PU). In this problem, we formulate a cognitive radio systems spectrum sensing problem in which SU, with multiple receive antennas, senses a channel shared among multiple asynchronous PUs transmitting MIMO-OFDM signals. Lastly, we study online learning and stochastic optimization in cognitive radio system at MAC layer. The typical Compressive Sensing problem models an observer that wants to recover a sparse N dimensional vector from K linear projections of the vector. We combine the ideas of opportunistic spectrum sensing with compressive sensing and introduce the Cognitive Compressive Sensing (CCS) problem which models a cognitive receiver that uses Bayesian beliefs on a dynamically changing sparse vector representing measurements from the signals occupying the sub-channels. The CR objective is to optimally choose the K linear projections with the objective of maximizing a reward from the inference of the sparse vector support. We formulate CCS as a Restless Multi-Armed Bandit problem, generalizing the popular Cognitive Spectrum Sensing model, in which the CR can sense K out of the N sub-channels. We derive the myopic sensing policy that leverages on the beliefs to its inferences. We also propose a greedy counterpart of the myopic sensing policy algorithm with considerably less required computations. While in general the optimum policy remains elusive, we provide sufficient conditions in which in the limit for large K and N the greedy policy is optimum.
