Wireless Sensor Networks (WSN) are naturally resource-constrained and have been deployed in various applications such as home monitoring, health care monitoring and military systems. These applications are connected to numerous devices capable of interacting with each other over the internet called as Internet of Things (IoT). WSN application plays a main part in the IoT environment. In WSN, sensors are randomly positioned in harsh surroundings where the communication network is facing privacy issues which is the most critical for data transmission. In this paper, we proposed a cryptographic based clustering structure for preserving data privacy using Optimal Privacy-Multihop Dynamic Clustering Routing Protocol (OP-MDCRP) that improves data privacy and energy efficient routing for the heterogeneous network which uses both clustering and multi-hop communication to reduce the energy consumption of sensor node and increases the lifetime of WSN. Based on the area, the source nodes are grouped to form a cluster in the random network. This scheme also provides high data privacy using Elliptic Curve Integrated Encryption-Key Provisioning Method (ECIES-KPM) along with small key size. Besides, data security based attacks are restricted by ECIES-KPM verification process. In this way, the sensitive data is confidentiality secured with low computational overhead. Experimental comparison shows that the evaluation of OP-MDCRP approach provides more data security than existing methods in terms of computational time, packet delivery ratio, energy consumption, average delay, network overhead and network lifetime.

无线传感器网络（WSN）自然是资源受限的，并且已部署在各种应用程序中，例如家庭监视，医疗保健监视和军事系统。这些应用程序已连接到众多能够通过称为物联网（IoT）的互联网进行交互的设备。WSN应用程序在物联网环境中起着主要作用。在WSN中，传感器随机放置在通信网络面临隐私问题的恶劣环境中，而隐私问题对于数据传输而言至关重要。在本文中，我们提出了一种基于密码的群集结构，该群集使用最佳隐私-多跳动态群集路由协议（OP-MDCRP）来保护数据隐私，从而提高了异构网络的数据隐私和节能路由，该异构网络同时使用群集和多跳通信来降低能耗消耗传感器节点并延长WSN的寿命。根据区域，将源节点分组以在随机网络中形成群集。该方案还使用椭圆曲线集成加密密钥提供方法（ECIES-KPM）以及较小的密钥大小，提供了较高的数据保密性。此外，基于数据安全的攻击受到ECIES-KPM验证过程的限制。以这种方式，以低计算开销来确保机密数据的机密性。