This paper presents the first version of a Wireless Sensor Network simulator, called CupCarbon. It is a multi-agent and discrete event Wireless Sensor Network (WSN) simulator. Networks can be designed and prototyped in an ergonomic user-friendly interface using the OpenStreetMap (OSM) framework by deploying sensors directly on the map. It can be used to study the behaviour of a network and its costs. The main objectives of CupCarbon are both educational and scientific. It can help trainers to explain the basic concepts and how sensor networks work and it can help scientists to test their wireless topologies, protocols, etc. The current version can be used only to study the power diagram of each sensor and the overall network. The power diagrams can be calculated and displayed as a function of the simulated time. Prototyping networks is more realistic compared to existing simulators.
The challenge in the deployment of wireless sensor networks is to ensure the coverage of targets with high energy efficiency, particularly when coverage constraint and energy constraint must be taken into account. Many algorithms have been suggested over the years to enhance network lifetime as sensor nodes are powered by batteries. These algorithms divide a set of sensor nodes into a number of subsets which can monitor all targets. The subsets are either joint or disjoint. In this paper, we propose an efficient method to compute the maximum lifetime target coverage. Our proposed method is centered around a target that is covered by a minimum number of sensor nodes. Based on this approach, we also propose an algorithm to expand the network lifetime which guarantees the monitoring of all targets by forming subsets of sensor nodes. Our obtained results are compared with the work reported in [1]. They are also compared with a method of computing the maximum lifetime target coverage (MLTC). The results obtained by simulation show that the proposed algorithm enhances the network lifetime, which illustrates the efficiency of this algorithm.
Abstract-The number of connected devices is growing and in the near future it is expected to become extremely large in cities. As a consequence, using simulators to study and prepare a project of installing new networks before their real deployment is of great importance. They can help to predict some important information like signal overload or the feasibility of the deployment in terms of location, interferences, communication and cost. In this paper we present a new architecture for the platform CupCarbon, developed within the research project PERSEPTEUR. The main objective of this platform is to design and simulate Wireless Sensor Networks dedicated to Smart-city and IoT applications. It allows to validate distributed algorithms in a 2D/3D environment, taking account of the city buildings in which to deploy the network, the mobiles, and using accurate models of radio propagation and interferences in that environment.
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