An Energy-Balanced Trust Cloud Migration Scheme for Underwater Acoustic Sensor Networks
An Energy-Balanced Trust Cloud Migration Scheme for Underwater Acoustic Sensor Networks
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DOI：
10.1109/twc.2019.2955652
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发表时间：
2020-03
影响因子：
10.4
通讯作者：
Guangjie Han;Jiaxin Du;Chuan Lin;Hongyi Wu;M. Guizani
中科院分区：
文献类型：
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作者：
Guangjie Han;Jiaxin Du;Chuan Lin;Hongyi Wu;M. Guizani
作为一种候选的信任管理方案，基于云理论的信任模型在检测水声传感器网络(UASN)中的恶意攻击时经常被考虑。为了准确地评估节点的信任值，需要经常收集信任证据。因此，持续的信任更新会导致靠近信任云节点的部分传感器节点能量消耗过大或过早死亡。针对上述问题，本文提出了一种能量均衡的UASN信任云迁移方案(ETCM)，该方案包括目的节点确定、信任云迁移和信任云更新三部分。具体地，通过选择候选目的簇、确定目的簇和目的节点，分层地执行DND以获得用于信任云迁移的目的节点。首先，基于UASN中总剩余能量的分布，使用模拟退火法选择候选目的簇。然后，提出了一种簇能力指标(CA)来寻找目的簇。特别是，在计算CA时，使用改进的标准化欧几里德距离公式来评估簇与其相邻簇之间的连通性。最后，在定义节点密度可达性和剩余能量的基础上，提出了节点能力(NA)来表示节点对信任云的存储、计算和更新的能力。可以使用NA将目的地集群中的目的地节点确定为新的信任云节点。仿真结果表明，所提出的ETCM方案能够有效地均衡节点的能量消耗，提高节点的存活率，延长节点的生存时间。
As a candidate trust management scheme, trust models based on the cloud theory are always taken into account when detecting malicious attacks in Underwater Acoustic Sensor Networks (UASNs). To evaluate the trust values of nodes accurately, the evidence of trust ought to be collected frequently. As a result, continual trust update results in excessive energy consumption or premature death of some sensor nodes that are close to the trust cloud node. To address the above issues, in this paper, we propose an Energy-balanced Trust Cloud Migration scheme (ETCM) for UASNs, which consists of Destination Node Determination (DND), trust cloud migration and trust cloud update. Particularly, DND is performed hierarchically to obtain the destination node for trust cloud migration by selecting the candidate destination clusters, determining the destination cluster and the destination node, respectively. First, the candidate destination clusters are selected based on the distribution for the overall residual energy in UASNs using the simulated annealing algorithm. Then, an indicator of Cluster Ability (CA) is proposed to seek the destination cluster. Particularly, to calculate CA, the improved standardized Euclidean distance formula is employed to evaluate the connectivity between clusters and their neighboring clusters. Finally, on the basis of the defined node density reachability and the residual energy, the Node Ability (NA) is presented to indicate the capacity of nodes for trust cloud storage, calculation and update. The destination node in the destination cluster can be determined as the new trust cloud node using the NA. Simulation results demonstrate that the proposed ETCM scheme can balance energy consumption, increase node survival ratio and prolong lifetime effectively.