Wireless sensor networks (WSNs) have emerged in strategic applications such as target detection, localization, and tracking in battlefields, where the large-scale na- ture renders centralized control prohibitive. In addition, the finite batteries in sensor nodes demand energy-aware network control. In this thesis, we propose an energy- efficient topology management model inspired by biological inter-cellular signaling schemes. The model allows sensor nodes to cluster around imminent targets in a purely distributed and autonomous fashion. In particular, nodes in the target vicinity collaborate to form clusters based on their relative observation quality values. Sub- sequently, the clustered sensor nodes compete based on their energy levels until some of them gain active status while the rest remain idle, again according to a distributed algorithm based on biological processes. A final phase of the model has the active cluster members compete until one of them becomes the clusterhead. We examine the behavior of such a model in both finite-size and infinite-size networks. Specifically, we show that the proposed model is inherently stable and achieves superior energy efficiency against reference protocols for networks of finite size. Furthermore, we dis- cuss the behavior of the model in the asymptotic case when the number of nodes goes to infinity. In this setting, we study the average number of cluster members.

This qualitative study explores daily environmental sustainable attitudes and behaviours of Gauteng’s urban youth. A social constructivist paradigm underlines the views, challenges and activities expressed. The Reasonable Person Model (RPM) and Social Networking Theory ensure that the content, as well as methodological elements and results herein adhere to a psychological framework. Focus groups and online interviews were utilised to explore the link between community well-being and the state of the natural environment and the sample was drawn using purposive and snowball sampling. The literature reviewed focuses on existing climate change concerns, pro-environmental attitudes and behaviours, and emerging local and international practices, including the importance of expanding local practices. A thematic analysis, ensured for a broad variety of responses, and hence detailed discussion -of and dissemination of results. Using common threads in the results, recommendations and suggestions were made, to improve future studies and research practices concerning Environmental Responsible Behaviours (ERBs).