This book provides comprehensive coverage of the major aspects in designing, implementing, and deploying wireless sensor networks by discussing present research on WSNs and their applications in various disciplines. It familiarizes readers with the current state of WSNs and how such networks can be improved to achieve effectiveness and efficiency. It starts with a detailed introduction of wireless sensor networks and their applications and proceeds with layered architecture of WSNs. It also addresses prominent issues such as mobility, heterogeneity, fault-tolerance, intermittent connectivity, and cross layer optimization along with a number of existing solutions to stimulate future research.

Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues. This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations. It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design. The book offers comprehensive coverage of related topics, including: Emergence of intelligence in wireless sensor networks Taxonomy of computational intelligence Detailed discussion of various metaheuristic techniques Development of intelligent MAC protocols Development of intelligent routing protocols Security management in WSNs This book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications.

Get ready to create distributed sensor systems and intelligent interactive devices using the ZigBee wireless networking protocol and Series 2 XBee radios. By the time you're halfway through this fast-paced, hands-on guide, you'll have built a series of useful projects, including a complete ZigBee wireless network that delivers remotely sensed data. Radio networking is creating revolutions in volcano monitoring, performance art, clean energy, and consumer electronics. As you follow the examples in each chapter, you'll learn how to tackle inspiring projects of your own. This practical guide is ideal for inventors, hackers, crafters, students, hobbyists, and scientists. Investigate an assortment of practical and intriguing project ideas Prep your ZigBee toolbox with an extensive shopping list of parts and programs Create a simple, working ZigBee network with XBee radios in less than two hours -- for under $100 Use the Arduino open source electronics prototyping platform to build a series of increasingly complex projects Get familiar with XBee's API mode for creating sensor networks Build fully scalable sensing and actuation systems with inexpensive components Learn about power management, source routing, and other XBee technical nuances Make gateways that connect with neighboring networks, including the Internet

This book constitutes the refereed proceedings of the 7th European Conference on Wireless Sensor Networks, EWSN 2010, held in Coimbra, Portugal, in Februar 2010. The 21 revised full papers presented were carefully reviewed and selected from 109 submissions. Topics of interest include hardware design and implementation, operating systems and software, middleware and macroprogramming, communication and network protocols, information and signal processing, fundamental theoretical limits and algorithms, prototypes, field experiments, testbeds, novel applications, including urban sensing, security and fault-tolerance. The papers are organized in topical sections on localization, synchronization and compression, networking, new directions, programming and architecture, as well as on link reliability.

The definitive guide to Homeland Security—updated with critical changes in the department’s mission, tactics, and strategies Critical reading for government officials, diplomats, and other government officials, as well as executives and managers of businesses affected by Homeland Security activities Provides the most comprehensive coverage available on anti-terrorism intelligence, maritime security, and border security Updates include recent changes in the structure of the Homeland Security department, its new role in natural-disaster response, and new strategies and analytical tools

Master's Thesis from the year 2014 in the subject Engineering - Automotive Engineering, grade: 1.7, University of Applied Sciences Rosenheim (University of Applied Science), course: Electrotech, language: English, abstract: In this thesis, the Failure Mode and Effect Analysis (FMEA) methodology is implemented for failure analysis in wireless automotive systems. Reliability analysis is done by using Reliability Block Diagrams (RBD). These analyses are performed to develop redundant systems. The main focus of this thesis is to make the system behavior fail-operation using wireless technology. The implementation of algorithms and protocol design has been done with an MSPEXP430 board and a CC2520 transceiver to detect single point failures. The implementations were then tested to detect different failure levels successfully. In this modern age, a car has different functionalities and facilities. The implementation is done by using different actuators, sensors and Electronics Control Units (ECUs). Due to the high complexity of wiring and addition of weight to a car, controlling and maintaining these devices is difficult. As a solution for these complexities and the problem of weight growth, wireless technology has been used with the TDMA method. The approach for replacing wire by wireless technology may, however, not be secure and reliable.

Master's Thesis from the year 2012 in the subject Computer Science - Technical Computer Science, grade: 70%, Griffith College Dublin (Faculty of Computing ), course: MSC Computing , language: English, abstract: Modern wireless sensor network can be expanded into large geographical areas via cheap sensor devices which can sustain themselves itself with very a low power usage. The networking capability enables these sensor nodes to incorporate, collaborates, and coordinates with among each other , and this is a fundamental shift in the field of networks which differentiates sensor network nodes form other networks such as IP-datagram, Ad-Hoc and so on. Currently, routing in the wireless sensor network faces multiple challenges, such as new scalability, coverage, packet loss, interference, real-time audio and video real time streaming, harsh weather environments, energy constraints and so forth. Network routing can be called an amalgamation of routing protocol and routing algorithm. The job of the routing protocols is to provide a cohesive view of network nodes topology while routing algorithm provides the intelligence in terms of optimal path calculation. We set out to conduct a detailed study of routing protocols in a IP-datagram, wireless ad-hoc and sensor network, and also accomplished routing protocols comparison against the chosen network performance factor dropped packet ratio. Routing protocols play an important role in modern wireless communication networks. Routing protocols’ performance can be measured by a number of factors such as packet dropped rate and so forth. Rumour and Optimal Spinal Routing algorithms are compared using ShoX simulation and the results and analysis are based upon the simulation experiments.