Development of Network Architecture and Protocol Stack for Mobile Wireless Sensor Networks

Abstract

Recent technological advances led to the development of low-cost, low-power small newlinesize devices. One such device is sensor nodes, which form Wireless Sensor Network newline(WSN) which are capable of sensing, computation and communication. There exist newlinemany application scenarios, ranging from monitoring to military applications, where newlinemobility is also required. In mobile WSN, the mobility is classified as controlled and newlineuncontrolled (random) mobility. In case of controlled mobility, introducing mobility can newlineenhance the performance of existing WSN in terms of data rate, reliability and energy newlineefficiency. This thesis aims to improve the services and protocols of both controlled newlineand uncontrolled mobility based WSN. In controlled mobility, thesis aims to improve newlinethe performance of services such as event monitoring, area monitoring and improving newlinethe performance of existing terrestrial network using mobile sensor nodes. Network newlinearchitecture and algorithms are proposed for controlled mobility to improve sensing newlineresolution, network coverage and connectivity. For event monitoring applications, incorrectly captured data from sensor nodes can lead to false alarms, which are equally undesirable as a missing event. So, we considered the use of mobile WSN equipped with multimedia sensors for event monitoring. In our proposed architecture, these mobile nodes are arranged between event location and the base-station. The thesis focuses on optimal selection with minimum number of mobile nodes to establish a communication between the event and the base-station in minimum time. Our proposed method uses Hungarian algorithm to minimize the maximum time taken for the simultaneous movement of mobile nodes from their current position. Further, we extend our approach to address multi-event monitoring using Minimum Steiner Tree (MST). Area monitoring applications in WSN are used for a multitude of applications ranging from data collection to network maintenance. In this thesis, we proposed deterministic (Max-Gain) and non-deterministic (Hybrid)