# Resource Management and Secure Data Exchange for Mobile Sensors Using Ethereum Blockchain
## 5 Results
### Accomplished Result
Although this complements blockchain security, it introduces significant latency when exposed to a highly distributed sensing environment. Similar trends have been reported in other studies. * _Quantified Outcome_: The proposed system offers approximately 28% reduced latency compared to the average latency of existing blockchain approaches. * **Throughput**: This performance metric refers to the rate at which data are successfully transmitted from the source to the destination mobile sensor within the network (Figure 8). It measures the data transmitted over a network within a specified period. Throughput is influenced by various factors such as network topology, routing protocols, transmission power, interference, and data traffic patterns. * _Novelty_: The primary novelty of the proposed system is that it offers an unbiased balance between communication and optimal security performance. The choice of consensus method, as well as block size, has a potential influence on the throughput of WSNs. A closer look at the proposed scheme shows that the adopted consensus method used in the proposed scheme retains information about the computed trust scores from mobile sensors, where the consensus consists of reviewing requests from mobile sensors, forwarding of leader nodes, the response of mobile sensors, and replies made by the leader node. This offers a clear and precise voting process in adverse conditions (traffic or attack), leading to optimal throughput gains. This is a novel approach, whereas existing schemes use a stale consensus mechanism that could be more challenging to fine-tune when exposed to dynamic environments (especially in mobility). Hence, the proposed scheme will perform optimally towards resource management and data transmission when exposed to any form of adverse and challenging real-time environment with hardware constraints. * _Evidential Justification_: In the dynamic use case of a sensory application with mobility, where nodes typically have limited resources, such as battery power and processing capability, achieving high throughput while conserving energy is a crucial challenge. Efficient routing algorithms and protocols are often employed to optimize throughput and prolong the network's lifetime. The proposed scheme contributes towards adjusting the transmission power of sensor nodes to help maximize the communication range and reduce interference, leading to better throughput. The mobile sensors can dynamically change their transmission power based on the distance to the destination and signal strength. The proposed scheme uses multiple channels to mitigate interference and improve the network throughput. Finally, implementing QoS mechanisms allows the network to prioritize certain types of traffic based on their importance and urgency. By allocating resources efficiently and ensuring the timely delivery of critical data, QoS mechanisms can enhance the throughput in WSNs. However, none of the existing approaches [38; 39; 40; 41; 42; 43; 44; 45; 46; 47] use sophisticated operations that are mainly witnessed to adopt any such process and hence witnessed with reduced throughput. * _Quantified Outcome_: The proposed system achieved an enhanced throughput of approximately 23% compared with existing approaches. * **Overhead**: This performance metric refers to any additional data or control information transmitted or required beyond the actual payload data (Figure 9). This information is necessary for network management, communication protocols, error detection and correction, and other administrative purposes. Overhead can significantly impact the network's performance and efficiency, as it consumes bandwidth, energy, and computational resources. The proposed system computes the control overhead among the various types of overhead. Control messages are used for synchronization, neighbor discovery, channel allocation, and other management functions within the network. These messages help maintain the integrity and reliability of the communication process but add overhead to the data transmission.