A New Dijkstra Front-Back Algorithm for Data Routing-Scheduling via Efficient-Energy Area Coverage in wireless Sensor Network

Adda Boualem, Marwane Ayaida, Y. Dahmani, Cyril de Runz, A. Maatoug
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引用次数: 4

Abstract

Sensor nodes suffer from a lot of constraints, such as the limited energy source, the short radius of communication, the low processing and storage power. These fuzzy constraints deplete the energy of the implemented sensor network, especially, in coverage and routing data in the large-scale zones. The main constraint in WSNs is the energy. To outcome this constraint, we have proposed a Data Routing-Scheduling via Efficient-Energy Area Coverage in wireless Sensor Network protocol (EE_AC_DR) based on our proposed Dijkstra Front-Back algorithm. In fact, our protocol uses Dijkstra algorithm with steps to pass the nodes in the superior Cluster, or return it to the lower Cluster to choose the designed node as Cluster-Heads for playing a multiple role; a role of Cluster-Head, a role of coverage in the entire cluster and a role of communication routing the information in the best and shortest path towards the base station. This protocol is divided into the following five (5) steps: 1) the construction of the Clusters; 2) the choice of the Clusters-Heads; 3) the choice of the best neighbors; 4) the construction of Head-Clusters-Head, and 5) the choice of best Cluster-Head neighbors. We demonstrate, using some large scale simulations, that this protocol enhances the performances of the network and allows taking the best choices regarding the use of only one node in each cluster to monitor and communicate data using the shortest path with minimal cost.
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基于高效能区域覆盖的无线传感器网络数据路由调度新Dijkstra前后算法
传感器节点受到能源有限、通信半径短、处理和存储能力低等诸多限制。这些模糊约束消耗了所实现传感器网络的能量,特别是在大范围区域的覆盖和路由数据方面。无线传感器网络的主要制约因素是能量。为了解决这一限制,我们提出了一种基于Dijkstra前后算法的无线传感器网络协议(EE_AC_DR)中有效能量区域覆盖的数据路由调度。实际上,我们的协议使用Dijkstra算法,通过分步传递上级集群中的节点,或者返回下级集群,选择设计的节点作为簇头,扮演多个角色;一个是簇头的角色,一个是整个簇的覆盖角色,一个是以最佳和最短的路径向基站发送信息的通信角色。该协议分为以下五(5)个步骤:1)构建集群;2)簇头的选择;3)最佳邻居的选择;4) Head-Clusters-Head的构建,5)最佳Cluster-Head邻居的选择。我们使用一些大规模的模拟来证明,该协议增强了网络的性能,并允许在每个集群中仅使用一个节点的情况下采取最佳选择,以最小的成本使用最短路径来监视和通信数据。
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