Building Wireless Sensor Networks: Theoretical and Practical Perspectives presents the state of the art of wireless sensor networks (WSNs) from fundamental concepts to cutting-edge technologies. Focusing on WSN topics ideal for undergraduate and postgraduate curricula, this book: Provides essential knowledge of the contemporary theory and practice of wireless sensor networking Describes WSN architectures, protocols, and operating systems Details the routing and data aggregation algorithms Addresses WSN security and energy efficiency Includes sample programs for experimentation The book offers overarching coverage of this exciting field, filling a critical gap in the existing literature.

Building Wireless Sensor Networks: Theoretical and Practical Perspectives presents the state of the art of wireless sensor networks (WSNs) from fundamental concepts to cutting-edge technologies. Focusing on WSN topics ideal for undergraduate and postgraduate curricula, this book: Provides essential knowledge of the contemporary theory and practice of wireless sensor networking Describes WSN architectures, protocols, and operating systems Details the routing and data aggregation algorithms Addresses WSN security and energy efficiency Includes sample programs for experimentation The book offers overarching coverage of this exciting field, filling a critical gap in the existing literature.

This book focuses on the different aspects of handling big data in healthcare. It showcases the current state-of-the-art technology used for storing health records and health data models. It also focuses on the research challenges in big data acquisition, storage, management and analysis.

Tasks of a resource management system are complicated in a heterogeneous, dynamic environment like Grid. A resource management system may have to deal with the resources on which it has no control and which are under the control of multiple administrative domains. Moreover, the system loads and status of the resources change frequently. So the information about the resources is often limited or dated. This work proposes an integrated framework for performance-based resource management in computational Grid environment. Objective of this work is to design and implement this framework for pursuing two definite goals - maintaining the quality of services required for a batch of jobs, while keeping the resource utilization cost as minimum as possible. The work demonstrates the effectiveness of the multi-agent system for managing execution of multiple concurrent jobs by developing a tool, called PRAGMA (Performance based Resource Brokering and Adaptive execution in Grid for Multiple concurrent Applications). This work also evaluates the efficiency of this tool by performing different sets of experiments using different batches of jobs on a local Grid test bed.