Knowledge Placement & Management in wireless sensor networks has been a research area in recent years. Many existing Sensor Knowledge Management Systems view sensor data as a continuous stream that is sensed, filtered, processed, and aggregated as it “flows” from sensors to users. We argue that the Knowledge Management infrastructure will need substantial redesign to fully exploit the presence ...

................................................................................................................... viii Chapter 1: Introduction ............................................................................................ 1 1.1 Background Information ................................................................................. 1 1.2 Problem Statement ...........................

Node placement is an important task in wireless sensor network. Node placement in wireless sensor network is a multi-objective combinatorial problem. A multi-objective evolutionary algorithm based framework has been proposed in this paper. Design parameters such as network density, connectivity and energy consumption have been taken into account for developing the framework. The framework optim...

In active sensing, actuators are used to impart user-defined energy into a structure from which resulting sensor responses may be mined for useful information regarding the structure’s health. Optimal actuator-sensor placement works to maximize the observability of this information given two primary constraints: the number of actuators and sensors available for the network and the power availab...

This work develops optimal sensor placement within a hybrid dense sensor network used in the construction of accurate strain maps for large-scale structural components. Realization of accurate strain maps is imperative for improved strain-based fault diagnosis and prognosis health management in large-scale structures. Here, an objective function specifically formulated to reduce type I and II e...

Beacon placement strongly affects the quality of spatial localization, a critical service for context-aware applications in wireless sensor networks; yet this aspect of localization has received little attention. Fixed beacon placement approaches such as uniform and very dense placement are not always viable and will be inadequate in very noisy environments in which sensor networks may be expec...

In this paper, a sensor placement approach to improve the leak location in water distribution networks is proposed when the leak signature space (LSS) method is used. The sensor placement problem is formulated as an integer optimization problem where the criterion to be minimized is the number of overlapping signature domains computed from the original LSS representation. First, a semi-exhausti...

Adequate coverage is one of the main problems for Sensor Networks. The effectiveness of distributed wireless sensor networks highly depends on the sensor deployment scheme. Optimizing the sensor deployment provides sufficient sensor coverage and saves cost of sensors for locating in grid points. This article applies the modified binary particle swarm optimization algorithm for solving the senso...

We consider the sensor deployment problem in the context of uncertainty in sensor locations subsequent to airdropping. Sensor deployment in such scenarios is inherently non-deterministic and there is a certain degree of randomness associated with the location of a sensor in the sensor field. We present two algorithms for the efficient placement of sensors in a sensor field when the exact locati...