A wireless sensor network (WSN) is a staple network architecture that can be widely used to support diverse of applications as smart cities, smart homes, etc. However, energy consumption and security was still a major concern. The blockchain is a potential solution for security provisioning in WSN. However, due to resource constraint nature of the WSN nodes the adoption of classic blockchain leads to high energy consumption, slow transaction processing and poor scalability. To overcome the above issues, we propose Directed Acyclic Graph-based Trust aware Load Balanced Routing (DAG-BTLBR). Initially, the sensor nodes are unequally clustered in an energy-efficient manner to reduce the hotspot problem using Emperor Penguin Colony (EPC) algorithm. After clustering, packets are transmitted through load-balanced routes in secure manner using Adaptive Neuro-based Dual Fuzzy (ANDual Fuzzy) system which reduces the energy consumption by selecting optimal secure routes. The sensor nodes are subjected to meet the security requirements (data integrity, and confidentiality) due to its resource constraint nature. For that, lightweight authentication encryption scheme is designed in which the lightweight encryption is implemented by XTEA with Chaotic Map algorithm, whereas message authentication is implemented by Blake-256 algorithm. Finally, DAG based blockchain is utilized to improve the scalability and resiliency. The proposed DAG-BTLBR model is simulated and implemented using NS3 (version 3.26), and compared with existing works in terms of validation metrics such as end-to-end delay, time consumption, packet loss rate, and energy consumption, maximizing the throughput. The experimental results shows that the proposed work outperforms better than the existing works.

无线传感器网络 (WSN) 是一种主要的网络架构，可广泛用于支持智能城市、智能家居等各种应用。然而，能源消耗和安全性仍然是一个主要问题。区块链是 WSN 中安全配置的潜在解决方案。然而，由于 WSN 节点的资源约束性质，采用经典区块链会导致高能耗、事务处理缓慢和可扩展性差。为了克服上述问题，我们提出了基于有向无环图的信任感知负载平衡路由（DAG-BTLBR）。最初，传感器节点以节能方式不均匀地聚类，以使用帝企鹅群（EPC）算法减少热点问题。聚类后​​，数据包使用自适应神经双模糊（ANDual Fuzzy）系统以安全的方式通过负载平衡路由传输，该系统通过选择最佳安全路由来降低能耗。由于其资源约束性质，传感器节点需要满足安全要求（数据完整性和机密性）。为此，设计了轻量级认证加密方案，轻量级加密采用XTEA混沌映射算法实现，消息认证采用Blake-256算法实现。最后，利用基于 DAG 的区块链来提高可扩展性和弹性。所提出的 DAG-BTLBR 模型使用 NS3（版本 3.26）进行模拟和实现，并在验证指标（例如端到端延迟、时间消耗、丢包率和能耗，最大化吞吐量。实验结果表明，所提出的工作优于现有工作。