Numerical Optimization of the Energy Consumption for Wireless Sensor Networks Based on an Improved Ant Colony Algorithm

Kai-Chun Chu,Kuo-Chi Chang,Der-Juinn Horng

doi:10.1109/access.2019.2930408

Kai-Chun Chu, Kuo-Chi Chang + Show 1 more

Open Access

https://doi.org/10.1109/access.2019.2930408

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Abstract

In the current WSN operation process, there are two major problems of data collection difficulty and network energy consumption, which seriously affects the reliability of the WSN. In this paper, the improved ant colony algorithm proposed is compared with other algorithms. Wireless sensor network nodes based on improved ant colony algorithm have lower energy consumption, and sensor nodes have more residual energy. In addition, the energy model, data transmission balance model is established and verified in the WSN transmission target function. The experimental results show that the WSN node after the improved ant colony algorithm is used to help in the determination of the location information of the public node, and then use the location information of the node to make the protocol have effective routing performance and effective target node location discrimination ability. Thus, the improved ant colony algorithm studied in this paper has important practical significance for improving the life cycle/energy consumption of wireless sensor networks. In addition, aiming at the characteristics and routing performance of wireless sensor networks, a low-power routing method based on location and direction is designed to make the message reach the target node accurately and safely, which effectively increases the data packet transmission rate.

Highlights

Wireless Sensor Network (WSN) has broad application prospects
This paper proves that the wireless sensor network based on improved ant colony optimization algorithm optimizes energy consumption and continuously sends data to the Sink node
Aiming at the load-balancing problem in multi-hop communication, this paper proposes a multi-hop communication method based on optimization mechanism for WSNs, which comprehensively evaluates the distance between nodes and the communication quality of neighbor nodes, selects the hop for communication, and designs multiple communication

Summary

INTRODUCTION

Wireless Sensor Network (WSN) has broad application prospects. With the rapid development of mobile terminal technology and Internet technology, mobile wireless network technology is widely used in data collection and transmission in different fields such as industry, agriculture and service industry. As an ‘‘energy hollow’’ phenomenon, especially after the mobile node Sink joins, the WSN network topology dynamically changes, so that the WSN consumes more energy based on the original energy consumption [9] This will shorten the network life of the WSN. This paper proves that the wireless sensor network based on improved ant colony optimization algorithm optimizes energy consumption and continuously sends data to the Sink node. If the number and path of nodes in the WSN are optimized, the network can obtain suboptimal Based on this analysis, this paper proposes a new ant colony WSN optimization strategy and designs a corresponding routing algorithm for obtaining suboptimal energy efficiency. This paper contributes an improved ant colony algorithm, which can equalize the energy consumption of each sensor node, prolonging the life cycle of the whole network, and effectively alleviating network congestion and reducing the average delay.

NETWORK MODEL AND ASSUMPTION

SIMULATION AND RESULT ANALYSIS

Findings

CONCLUSION