ENERGY HARVESTING WIRELESS MULTIMEDIA SENSOR NETWORKS IN INDUSTRIAL ENVIRONMENTS
Özet
Providing energy efficient and reliable communication for Industrial Wireless Sensor
Networks (IWSNs) is of great significance when considering the harsh channel
characteristics of industrial environment. However, prolonging a network lifetime while
ensuring reliability becomes a major challenge.
The main goal of this thesis is to maximize the network lifetime of Industrial
Wireless Sensor Networks (IWSNs). The Energy Harvesting (EH) methods based on
indoor solar, thermal and vibration that are suitable for industrial environments are
defined and their contributions on network lifetime are investigated. A novel Mixed
Integer Programming (MIP) model is formulated to maximize network lifetime by
jointly considering path loss, application reliability and EH methods.
Furthermore, communication in Wireless Multimedia Sensor Networks (WMSNs)
causes the expense of extra energy consumption due to its huge data size. Therefore,
reducing huge data size before transmission becomes important. To this end, the impact
of the data size reduction methods such as compressive sensing and image compression
while considering energy dissipation of both communication and computation on
industrial network lifetime is evaluated. On the other hand, to solve the MIP model in a
feasible time is hard especially when the large amount of sensor nodes deployed in the
network. Heuristic based optimization methods are developed to overcome the timecomplexity of MIP problem.
