Analysis of the trade-off between network lifetime and K-connectivity in wireless sensor networks

Wireless Sensor Networks (WSNs) in general and Underwater Wireless Sensor Networks (UWSNs) in particular are solutions that are used frequently and in large areas in many monitoring and surveillance applications. While realizing both solutions, it should be noted that maximizing lifetime and increasing network reliability are the most important parameters to consider. It is very important that WSNs used especially in critical missions have a very high network lifetime and that the relevant network can deliver data to the relevant base stations without interruption. The reliability of the network can be defined by many parameters. In this thesis, it is aimed to maximize the lifetime while examining the reliability in terms of k-connectivity, which is a more robust parameter for network reliability. However, the creation and maintenance of k different paths from the nodes of the WSN to the base station creates a big handicap in terms of energy consumption, that is, shortening the lifetime of the network. In this thesis, the trad-eoff analysis between network lifetime and network reliability is examined within the framework of mathematical programming. The results obtained through the optimal solutions of the proposed optimization model for many significant parameters reveal that if the kconnectivity value is tried to be high can affect the network lifetime significantly.