# Trusted Energy-Aware Hierarchical Routing (TEAHR) for Wireless Sensor Networks
## 3 Proposed Studies
### Research Contribution
* Anomaly Detection: a vital feature of the TEAHR framework, enabling the identification and isolation of malicious nodes within the network. When a node's trust score falls below a certain threshold due to suspicious behavior, it is flagged as potentially compromised. The TEAHR system then takes proactive measures to manage the anomaly, such as restricting the Node's access to the network or isolating it entirely. This approach ensures that the impact of malicious nodes is minimized and that the network remains secure and operational. Additionally, the system continuously monitors the trust scores of all nodes, allowing for dynamic adjustments based on real-time behavior. * Energy Efficiency: TEAHR improves energy efficiency across the network by using energy metrics in trust computation. Nodes that are more energy-efficient are rated positively in trust evaluations, which incentivizes the use of energy-saving practices among nodes. This focus on energy efficiency not only extends the operational life of the network but also enhances its overall performance by reducing the likelihood of node failures due to energy depletion. Advantages of the Proposed TEAHR Framework. The TEAHR framework offers several advantages over traditional trust management and routing protocols in WSNs:  
* Enhanced Security: By incorporating multiple trust metrics, including energy, forwarding, consistency, and behavioral Trust, TEAHR provides a comprehensive approach to identifying and mitigating security threats. This multifaceted trust evaluation process makes it more difficult for malicious nodes to evade detection, thereby enhancing the overall security of the network. * Optimized Energy Consumption: The integration of energy trust into the routing process ensures that nodes with sufficient energy reserves are prioritized, reducing the likelihood of network disruptions due to node failures. This focus on energy efficiency helps to extend the lifespan of the network and reduces the need for frequent maintenance or node replacement. * Improved Network trustworthiness: TEAHR's emphasis on forwarding trust and consistency trust ensures that data are transmitted through reliable and consistent nodes, which enhances the integrity of the data and reduces the likelihood of packet loss or delays. This improved trustworthiness is essential in critical applications where accurate and timely data transmission is essential. * Scalability: The hierarchical nature of the TEAHR framework allows it to efficiently manage trust and routing decisions in large-scale WSNs. The system can scale to accommodate networks with a large number of nodes without compromising on performance or security, making it suitable for deployment in diverse and expansive environments. * Dynamic Trust Management: TEAHR's ability to dynamically assess and adjust trust scores based on real-time behavior ensures that the network can quickly respond to emerging threats and changes in node behavior. This adaptability is crucial in environments where network conditions and node behavior can change rapidly, such as in battlefield or disaster response scenarios. The proposed TEAHR framework represents a significant advancement in the field of WSNs, offering a robust and energy-efficient solution for trust management and routing. By integrating multiple trust metrics and focusing on energy efficiency, TEAHR addresses the critical challenges of security, trustworthiness, and scalability in WSNs. The framework's ability to dynamically assess Trust and manage anomalies ensures that the network remains secure and operational, even in the face of evolving threats. As WSNs continue to expand and find applications in critical areas, the TEAHR framework provides a valuable tool for enhancing network performance and security. Figure 4 shows the flow of the proposed algorithm. In the proposed TEAHR framework, we deploy the sensor nodes in a 1000 \(\times\) 1000 m area and start the cluster head (CH) initialization and selection process.