Modeling and simulation of data communication networks using SARA

The selection of an appropriate simulation language can have a profound impact on the success of a simulation study. The available options range from domain-specific simulation languages to general-purpose programming languages. These languages are often supported by a collection of tools which form a simulation system. This paper examines UCLA's SARA (Systems ARchitects' Apprentice) system and explores its' usefulness in modeling and simulating a data communications network. Based on experimental use of SARA's tools, the system is evaluated with respect to required expertise, modeling power, as well as measurement and reporting capability

SENSOR NETWORKS AND DATA COMMUNICATION

Mobile Wireless Sensor Network (M-WSN) derives its name from the mobile sink or mobile sensor nodes in the Wireless Sensor Network (WSN). because the sensor nodes are energy constrained, energy efficiency is that the main aspect to be considered in any applications. By considering mobile sensor nodes in WSN, we will have better energy efficiency, improved coverage, and enhanced target tracking in Wireless Sensor Network. thanks to mobility of nodes, a mobile WSN has dynamic topology. For all data gathering applications, the topology of mobile WSN depends on either the trail of mobile sink or position of mobile nodes. So the whole WSN topographic sink is mobile or the sensor nodes are mobile so keep changing.That is, we've dynamic topology. counting on application scenario, we may use a mobile sink to gather information from a static WSN or a dynamic WSN. generally static WSN uses multihops for digital communication from sensor node to sink. Hence sensor node closer to sink is usually in use and its energy gets exhausted quickly, thereby it dies down first, breaking link to sink and whole network collapses. this is often one among the intense problems to be considered. Mobile WSN is one among approach which will increase life time of network because nodes close sink keeps on changing in order that no particular node are going to be always on the brink of sink. it's also possible by controlled mobility of nodes, all nodes successively can take role of being on the brink of sink and supply necessary services. Also by providing mobility to nodes in controlled manner it also possible to scale back number of hops to sink from a node, there by errors in communication gets reduced. during this article we consider two general application areas, studying the conditions of disastrous area where in static sensor nodes are deployed in disastrous area and a mobile sink agent which is outside the boundary moves around predefined path to collect information’s of disastrous area, a battle field where in two way digital communication between captain and soldiers is Both the captain and the players need a place where there can be less movement.The networking required in both cases is the mobile WSN.We propose proper architecture and digital communication in these contexts.&nbsp

The Bus Goes Wireless: Routing-Free Data Collection with QoS Guarantees in Sensor Networks

Abstract—We present the low-power wireless bus (LWB), a new communication paradigm for QoS-aware data collection in lowpower sensor networks. The LWB maps all communication onto network floods by using Glossy, an efficient flooding architecture for wireless sensor networks. Therefore, unlike current solutions, the LWB requires no information of the network topology, and inherently supports networks with mobile nodes and multiple data sinks. A LWB prototype implemented in Contiki guarantees bounded end-to-end communication delay and duplicate-free, inorder packet delivery—key QoS requirements in many control and mission-critical applications. Experiments on two testbeds demonstrate that the LWB prototype outperforms state-of-theart data collection and link layer protocols, in terms of reliability and energy efficiency. For instance, we measure an average radio duty cycle of 1.69 % and an overall data yield of 99.97 % in a typical data collection scenario with 85 sensor nodes on Twist. I

Joint Data Routing and Power Scheduling for Wireless Powered Communication Networks

In a wireless powered communication network (WPCN), an energy access point supplies the energy needs of the network nodes through radio frequency wave transmission, and the nodes store the received energy in their batteries for their future data transmission. In this paper, we propose an online stochastic policy that jointly controls energy transmission from the EAP to the nodes and data transfer among the nodes. For this purpose, we first introduce a novel perturbed Lyapunov function to address the limitations on the energy consumption of the nodes imposed by their batteries. Then, using Lyapunov optimization method, we propose a policy which is adaptive to any arbitrary channel statistics in the network. Finally, we provide theoretical analysis for the performance of the proposed policy and show that it stabilizes the network, and the average power consumption of the network under this policy is within a bounded gap of the minimum power level required for stabilizing the network