空间相关无线传感器网络中抗病毒传播的改进SI流行病模型
Modified SI Epidemic Model for Combating Virus Spread in Spatially Correlated Wireless Sensor Networks
摘要：
在无线传感器网络（WSNs）中，每个传感器节点的主要任务是感测物理活动（即，目标或灾害状况），然后将其报告给控制中心以供进一步处理。为此，传感器节点被附接有许多具有测量环境信息的能力的传感器。基于共同感知覆盖的无线传感器网络存在节点间的空间相关性，从而导致数据通信冗余。为了研究在这种情况下的病毒传播动力学，一个修改后的SI流行病模型的数学推导，通过将无线传感器网络的参数，如空间相关性，节点密度，传感范围，传输范围，总传感器节点等建议SI模型的解决方案也确定研究随时间的动态。最初，少数节点被病毒攻击，然后病毒感染通过正常的数据通信通过其相邻节点传播。由于相关传感器区域存在冗余节点，不同的传感器覆盖范围会导致病毒传播过程的不同。所提出的SI模型捕获的空间和时间动态比现有的全球。感染过程导致网络故障。通过利用节点之间的空间相关性，传播控制方案的发展，以限制在网络中的进一步感染。数值结果分析与比较验证。
英文摘要：
In wireless sensor networks (WSNs), main task of each sensor node is to sense the physical activity (i.e., targets or disaster conditions) and then to report it to the control center for further process. For this, sensor nodes are attached with many sensors having ability to measure the environmental information. Spatial correlation between nodes exists in such wireless sensor network based on common sensory coverage and then the redundant data communication is observed. To study virus spreading dynamics in such scenario, a modified SI epidemic model is derived mathematically by incorporating WSN parameters such as spatial correlation, node density, sensing range, transmission range, total sensor nodes etc. The solution for proposed SI model is also determined to study the dynamics with time. Initially, a small number of nodes are attacked by viruses and then virus infection propagates through its neighboring nodes over normal data communication. Since redundant nodes exists in correlated sensor field, virus spread process could be different with different sensory coverage. The proposed SI model captures spatial and temporal dynamics than existing ones which are global. The infection process leads to network failure. By exploiting spatial correlation between nodes, spread control scheme is developed to limit the further infection in the network. Numerical result analysis is provided with comparison for validation.
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