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首页> 外文期刊>International Journal of Distributed Sensor Networks >Formal Specification and Validation of a Localized Algorithm for Segregation of Critical/Noncritical Nodes in MAHSNs
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Formal Specification and Validation of a Localized Algorithm for Segregation of Critical/Noncritical Nodes in MAHSNs

机译:MAHSN中关键/非关键节点分离的本地化算法的形式规范和验证

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Timely segregation of criticaloncritical nodes is extremely crucial in mobile ad hoc and sensor networks. Most of the existing segregation schemes are centralized and require maintaining network wide information, which may not be feasible in large-scale dynamic networks. Moreover, these schemes lack rigorous validation and entirely rely on simulations. We present a localized algorithm for segregation of criticaloncritical nodes (LASCNN) to the network connectivity. LASCNN establishes and maintains a k-hop connection list and marks a node as critical if its k-hop neighbours become disconnected without the node and noncritical otherwise. A noncritical node with more than one connection is marked as intermediate and leaf noncritical otherwise. We use both formal and nonformal techniques for verification and validation of functional and nonfunctional properties. First, we model MAHSN as a dynamic graph and transform LASCNN to equivalent formal specification using Z notation. After analysing and validating the specification through Z eves tool, we simulate LASCNN specification to quantitatively demonstrate its efficiency. Simulation experiments demonstrate that the performance of LASCNN is scalable and is quite competitive compared to centralized scheme with global information. The accuracy of LASCNN in determining critical nodes is 87% (1-hop) and 93% (2-hop) and of noncritical nodes the accuracy is 91% (1-hop) and 93% (2-hop).
机译:在移动自组织网络和传感器网络中,关键/非关键节点的及时隔离至关重要。现有的大多数隔离方案都是集中式的,需要维护网络范围的信息,这在大规模动态网络中可能不可行。而且,这些方案缺乏严格的验证,并且完全依赖于仿真。我们提出了用于将关键/非关键节点(LASCNN)隔离到网络连接的本地化算法。 LASCNN建立并维护一个k-hop连接列表,如果某个节点的k-hop邻居在没有节点的情况下断开连接,则将其标记为关键节点,否则将其标记为非关键节点。具有多个连接的非关键节点被标记为中间节点,否则标记为非关键节点。我们同时使用正式和非正式技术来验证和确认功能和非功能属性。首先,我们将MAHSN建模为动态图,并使用Z表示法将LASCNN转换为等效形式规范。通过Zeves工具对规范进行分析和验证后,我们对LASCNN规范进行了仿真,以定量证明其有效性。仿真实验表明,与具有全局信息的集中式方案相比,LASCNN的性能具有可伸缩性,并且具有相当的竞争力。 LASCNN确定关键节点的准确性为87%(1-hop)和93%(2-hop),非关键节点的准确性为91%(1-hop)和93%(2-hop)。

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