The wireless sensor network (WSN) is an important technology with a wide variety of diverse applications in such domains as healthcare, military forces and environmental monitoring. Our research aims at developing methods and tools capable of addressing WSN problems such as energy constraint, low memory, and computation capability of a sensor node by implementing a new WSN design concept, improving existing and developing new protocols. Our research goal is to develop novel generic methodologies supporting a higher level of design flexibility and possible architectural optimization against multiple criteria such as the quality of data (QoD), quality of service (QoS), and lifetime extension. Application requirements may vary in terms of abovementioned parameters and consequently there is no single platform that can be applied to all domains. Moreover, current methods do not provide opportunities for dynamic changes of either protocols or their parameters, which might improve WSN agility and survivability in a harsh environment. This problem can be solved by integrating various protocols at different layers within a single framework and supporting their dynamic selection in order to adapt the network to varying application requirements. This thesis develops a mechanism which facilitates structural design and implementation of an Integrated Environment for Data Acquisition with Dynamic Changes (IEDADC). It features adaptation and integration of protocols, protocol switching and automatic or manual selection as well as the implementation of quality assurance and localization techniques. The design methodology is tested by implementing a SN prototype consisting of a base station and sensor nodes. Sun Small Programmable Object Technology is used as a hardware basis for this work. The software has been developed in Java programming language including the host and sensor nodes' applications. The conducted experiments have confirmed the higher level of design flexibility and optimization of the following criteria: energy consumption, QoD and QoS.

Library of Congress Subject Headings

Wireless sensor networks--Data processing; Computer network protocols

Publication Date


Document Type


Department, Program, or Center

Computer Science (GCCIS)


Reznik, Leon


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