- We will send in 10–14 business days.
/images/books/9865806/9781441935014.jpg)
- Author: Thomas Henderson
- Publisher: Springer
- ISBN-10: 1441935010
- ISBN-13: 9781441935014
- Format: 15.6 x 23.4 x 1.3 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
A model-based approach to the design and implementation of Computational Sensor Networks (CSNs) is proposed. This high-level paradigm for the development and application of sensor device networks provides a strong scientific computing foundation, as well as the basis for robust software engineering practice. The three major components of this approach include (1) models of phenomena to be monitored, (2) models of sensors and actuators, and (3) models of the sensor network computation. We propose guiding principles to identify the state or structure of the phenomenon being sensed, or of the sensor network itself. This is called computational modeling. These methods are then incorporated into the operational system of the sensor network and adapted to system performance requirements to produce a mapping of the computation onto the system architecture. This is called real-time computational mapping and allows modification of system parameters according to real-time performance measures. This book deals with the development of a mathematical and modular software development framework to achieve computational sensor networks.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 20d.08:05:20
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Thomas Henderson
- Publisher: Springer
- ISBN-10: 1441935010
- ISBN-13: 9781441935014
- Format: 15.6 x 23.4 x 1.3 cm, softcover
- Language: English English
A model-based approach to the design and implementation of Computational Sensor Networks (CSNs) is proposed. This high-level paradigm for the development and application of sensor device networks provides a strong scientific computing foundation, as well as the basis for robust software engineering practice. The three major components of this approach include (1) models of phenomena to be monitored, (2) models of sensors and actuators, and (3) models of the sensor network computation. We propose guiding principles to identify the state or structure of the phenomenon being sensed, or of the sensor network itself. This is called computational modeling. These methods are then incorporated into the operational system of the sensor network and adapted to system performance requirements to produce a mapping of the computation onto the system architecture. This is called real-time computational mapping and allows modification of system parameters according to real-time performance measures. This book deals with the development of a mathematical and modular software development framework to achieve computational sensor networks.
Reviews