Energy efficient wireless sensor networks based on machine learning mohammad abdulaziz alwadi a thesis submitted for the degree of doctor of philosophy. Wireless sensor networks (wsns), as distributed networks of sensors with the ability to sense, process and communicate, have been increasingly used in various fields including engineering, health and environment, to intelligently monitor remote locations at low cost.
This thesis presents the unknown state problem in wireless sensor networks, and gives an abstract approach on combating the problem while adhering to the require-ments and minimalist nature of wsn, and show how this could be implemented as an application layer algorithm, independently of the underlying operative system. Bottleneck nodes have been investigated to conserve the energy in a wsn the thesis has been organized in the following six chapters chapter 1 is the introduction to the wireless sensor networks this chapter dis-cusses the architecture of the wireless sensor networks and basics like sensors, base station, radio model and the energy consumption model.
Today, wireless sensor networks are widely used in the commercial and industrial areas such as for eg environmental monitoring, habitat monitoring, healthcare, process monitoring and surveillance for example, in a military area, we can use wireless sensor networks to monitor an activity. Wireless sensor networks ranging from real-time tracking to ubiquitous computing, where users interact with potentially large numbers of embedded devices  a typical sensor for this thesis we consider directed diﬀusion routing protocol it manages paths in a 1 =(.
An analysis of wsn security managemant pehr söderman master’s thesis in computer science (30 ects credits) at the school of computer science and engineering. In presenting this thesis in partial fulfilment of the requirements for a postgraduate degree from the university of saskatchewan, i agree that the libraries of this university wireless sensor networks (wsn) have generated tremendous interest among researchers these years because of their potential usage in a wide variety of applications.
Clustering in wireless sensor network using k-means and map reduce algorithm dissertation submitted in partial ful llment of the requirements for the degree of master of technology by jyoti r patole roll no: 121022017 under the guidance of dr jibi abraham department of computer engineering and information technology college of engineering, pune pune - 411005. Wireless sensor networks (wsns) are based on innoativve technologies that had revolutionized the methods in which we interact with the environment ie, through sensing the physical (eg, re, motion, contact) and chemical (eg, molecular concentration) properties of the natural surround-ings. Modeling, analysis, and design of wireless sensor network protocols pangun park doctoral thesis stockholm, sweden 2011 trita-ee 2011:001 issn 1653-5146 wireless sensor networks (wsns) have a tremendous potential to improve the eﬃ- used throughout the thesis are summarized in appendix a.
11 background of wireless sensor networks a wireless sensor network (wsn) is a network that senses data and transmits it this thesis aims at developing a high speed wireless sensor network simulation framework that could be interfaced with hardware prototypes to study the effects of high. Cusses the architecture of the wireless sensor networks and basics like sensors, base station, radio model and the energy consumption model this thesis is built around the leach routing protocol leach and its derivative fixed-leach routing algo-rithm have been discussed in detail as the background of work reported in this thesis.
In presenting this thesis in partial fulfilment of the requirements for a postgraduate degree from the university of saskatchewan, i agree that the libraries of this university may make it freely available for inspection. For this thesis we consider directed diﬀusion routing protocol it manages paths in a data-centric way a sink node publicizes its interest in some events such an interest will be disseminated within the network and received by nodes that have data on those events. This thesis provides an introduction to wireless sensor network [47-51], their history and potential, previous deployments and engineering issues that concern them, and the security challenges that will have to be overcome before wsns can be widely deployed.