Abstract

For energy-limited wireless sensor networks (WSNs), we propose a multiparameter fusion decision routing (MPFDR) algorithm in this study. This algorithm gives a comprehensive account of the residual energy and forward distance, single-hop transmission ratio, cache queue, and energy equilibrium degree. It calculates the routing evaluation parameters of the forward neighbors, realizing a multidirectional reflection of the network status. Simultaneously, combined with the defined routing selection strategy based on the parameter contribution degree and fuzzy contribution degree, the fusion contribution degree of each forward neighbor is obtained. Then, the node with the most considerable fusion contribution degree is selected as the next hop. Finally, the performance of the MPFDR algorithm is simulated and compared with other algorithms. Simulation results indicate that our algorithm has good congestion control ability in energy-limited wireless sensor networks and can significantly reduce the packet loss rate and average hops.

Highlights

  • Different from the energy routing algorithm, which aims at extending the network lifetime, the congestion control routing algorithm provides a guarantee for the success of data transmission and helps to improve the performance of the data-centric wireless sensor networks (WSNs)

  • For a given WSN, to comprehensively consider the impact of the routing evaluation parameters defined in Section 2.2, we proposed a routing optimization algorithm based on a multiparameter fusion decision, termed the multiparameter fusion decision routing (MPFDR) algorithm

  • Algorithm comprehensively considers the on the energy-constrained wireless sensor networks

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Summary

Background and Motivation

Wireless sensor networks (WSNs) are considered one of the most valuable technologies in the 21st century. A wireless sensor network is constituted of a number of sensor nodes for information collection and comprehensive surveillance. Each node takes a perception, communication, and computation function. They communicate with each other in a multihop and self-organization manner through wireless radio. The advent of the Internet of Things era has accelerated the development and implementation of wireless sensor network technology and gradually led modern life to intelligence and convenience. In a WSN, the routing protocol plans the route of data transmission and is one of the keys to collecting information successfully. The design of the routing protocol is a hot topic

Related Work
Contributions
System Model and Relevant Definitions
Routing Evaluation Parameter
Energy Equilibrium Degree
Single-Hop Transmission Ratio
Cache Queue Index
Residual Energy Level Factor
Principle and Implementation
Establishment of the Forward Neighbor Information Table
Calculation of the Routing Evaluation Parameters
Selection of the Next Hop
Routing Selection Strategy
Influence of the Adjustment Factor on the Network Performance
Simple Estimate of the Computational Time Complexity
Simulation Results and Analysis
Network Performance with Different Adjustment Factors
Comparison Algorithms
Classical Algorithm
Recent Algorithm
Conclusions
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