Abstract

Currently, wireless sensor network (WSN) protocols are mainly used to achieve low power consumption of the network, but there are few studies on the quality of services (QoS) of these networks. Coverage can be used as a measure of the WSN’s QoS, which can further reflect the quality of data information. Additionally, the coverage requirements of regional monitoring target points are different in real applications. On this basis, this paper proposes an energy-efficient clustering routing protocol based on a high-QoS node deployment with an inter-cluster routing mechanism (EECRP-HQSND-ICRM) in WSNs. First, this paper proposes formula definitions for information integrity, validity, and redundancy from the coverage rate and introduces a node deployment strategy based on twofold coverage. Then, in order to satisfy the uniformity of the distribution of cluster heads (CHs), the monitoring area is divided into four small areas centered on the base station (BS), and the CHs are selected in the respective cells. Finally, combined with the practical application of the WSN, this paper optimizes the Dijkstra algorithm, including: (1) nonessential paths neglecting considerations, and (2) a simultaneous introduction of end-to-end weights and path weights, achieving the selection of optimal information transmission paths between the CHs. The simulation results show that, compared with the general node deployment strategies, the deployment strategy of the proposed protocol has higher information integrity and validity, as well as lower redundancy. Meanwhile, compared with some classic protocols, this protocol can greatly reduce and balance network energy consumption and extend the network lifetime.

Highlights

  • The wireless sensor network (WSN), which has exerted a great influence in the 21st century, combines several advanced technologies, such as wireless communication and sensor technology, to effectively achieve an interaction between human society and the physical world, resulting in a profound impact on promoting social progress

  • The basic premise is as follows: For all the monitoring target points with a coverage requirement of two, this paper proposes a series of definition formulas for information integrity, validity, and redundancy and a node deployment strategy based on twofold coverage

  • The remainder of this paper is organized as follows: Section 2 introduces a node deployment strategy based on twofold coverage

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Summary

Introduction

The wireless sensor network (WSN), which has exerted a great influence in the 21st century, combines several advanced technologies, such as wireless communication and sensor technology, to effectively achieve an interaction between human society and the physical world, resulting in a profound impact on promoting social progress. How to effectively reduce the energy consumption of sensor nodes for long-term operation has become a research hotspot [1] It was under this context that the WSN clustering routing protocol came into being. The WSN protocol combines a large number of sensor nodes into clusters to form a hierarchical management system from cluster members (CMs) to cluster heads (CHs) to base stations (BS), which can effectively reduce the energy consumption of the network, extending the lifetime of the network and achieving more rounds of data iteration. The random node deployment strategy in [12] does not guarantee the obtained information’s QoS and must not meet the requirement of the QoS for the actual application It does not consider the inter-cluster routing mechanism, which will cause some CHs to deplete energy prematurely because of the long transmission distances from the BS.

The Node Deployment Strategy Based on 2-Fold Coverage
Coverage
The Difference in Coverage Requirements
A A schematic diagram a 2-fold coverage-based node deployment in a
The Clustering Protocol
CH Selection
Energy Consumption Model
The Dijkstra Algorithm
Inter-Cluster Routing Mechanism
Simulation Results
Comparison of the QoS of the Node Deployment Strategies
Node Distribution of the Node Deployment Strategies
QoS of the Node Deployment Strategies
Comparison of the Network Lifetime
Comparison of the Network Coverage
Comparison of integrity the Information
Comparison of thewe
Comparison of the Network Energy Consumption
Comparison of Network Energy Consumption
Comparison thecomprehensive
Comparison of the Network
Conclusions
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