Wireless sensor networks

Most applications for WSNs involve battery-powered nodes Abstract An analytical traffic flow model is developed for with limited energy. Their batteries may not be convenient for cluster-based wireless sensor networks. The source-to-sink path is recharging or replacing. When a node exhausts its energy, it modeled by a number of single-server finite queues linked in cannot sense or relay data any more. Thus, current research on tandem. During the process of modeling, both the blocking effect sensor networks mostly focused on protocols that are energy of tandem queuing networks and the impact of connection failure efficient mechanisms [2, 3]. However, the increasing interest due to limited node power are taken into account. The tandem in real-time applications by employing imaging and video queuing network is analyzed by decomposing it into individual insrealtim appiation by ing imaing and nodes with modified arrival and service processes and modified sensors, such as target tracking In battle environments and queue capacities. The steady-state queue-length distributions of disaster field, has posed additional challenges [4, 5], such as individual nodes are determined iteratively by using the matrixcontrolling the source-to-sink delay (SSD) within acceptable geometric procedure. A computational algorithm with a global range in the transmission of such real-time data. This loop from the last node to the first node and local loops in performance metric is usually referred to as quality of service individual nodes is developed to determine the performance (QoS) of networks. metrics, such as source-to-sink throughput (SST) and source-toThe objective of this paper is to figure out an analytical sink delay (SSD), of the tandem network. model to evaluate the cluster-based wireless sensor network.