Abstract

Today, there is significant attention being paid to wireless sensor networks equipped with energy harvesting modules (energy harvesting wireless sensor networks). They have been experimentally applied to some practical scenarios, such as structural health monitoring. However, the constraints (e.g. energy-neutral operation, node placement, and routing protocols) of energy harvesting wireless sensor networks still need further consideration before their actual deployment on structures. In this article, we consider a novel energy harvesting wireless sensor networks system for structural health monitoring in which a common energy harvesting module (including its storage battery) provides shared access to all energy harvesting nodes. The individual nodes do not own the independent energy harvesting modules and can only withdraw energy from the shared battery, which has an optionally changing energy level. Our aim is to find optimal solutions for three problems: (1) the minimum number of nodes needed for deployment, (2) the most efficient path from each node to the sink, and (3) the maximum network utility under energy harvesting constraints. Therefore, a joint optimization algorithm including sensor placement, routing, and energy allocation is introduced and solved; a sensor location optimization scheme is proposed according to the Fisher information matrix; and the condition of the communication channels and the nodes’ energy harvesting status are considered. We then propose an algorithm to jointly minimize the number of nodes and maximize the data sampling quality under energy-neutral working settings. Simulation results show that the proposed algorithm always attains high-efficiency network energy distribution and achieves higher network utility than existing approaches.

Highlights

  • Wireless sensor networks (WSNs) are ideal for covering or monitoring an operating environment.[1]

  • Some typical problems include the large amount of collected data, frequent battery replacement, highly precise requirements for synchronization among nodes, and highly reliable control protocols, especially for large-scale networks. These issues can be significantly resolved by equipping nodes with energy harvesting (EH) functions: EH function blocks could harvest energy from the ambient environment and use this energy to drive the workload of sensor nodes

  • A method for accurate energy allocation is essential for the EH-WSN system

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Summary

Introduction

Wireless sensor networks (WSNs) are ideal for covering or monitoring an operating environment.[1]. We can use an efficient nonexhaustive search method to find the optimal solution In this article, such methods are adopted to deploy nodes and discover routes to maximize information quality and maintain the total energy consumption less than but most close to the energy harvested by the common EH module. In this part, we evaluate the performance of the proposed joint MNMQN mechanism with a common experimental mechanism. 7: Calculate FIM determinant jQ(S)j for every solution in Ryy

8: Compute value z
Findings
Conclusion
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