Multiple Prime Expansion Channel Hopping for Blind Rendezvous in a Wireless Sensor Network

Zhou Zhixin,Zhang Xiaohong,Hu Liqin,Zhang Xianfei,Yanjun Deng,Zhao Zhidong

doi:10.1155/2022/7061573

Abstract

A channel rendezvous is a significant aspect of communication. In this context, blind rendezvous is the process of selecting a common available channel and establishing a communication link for wireless devices in a wireless sensor network. The rendezvous of asymmetric and heterogeneous wireless devices is a challenge. Thus, to improve speeds and stability of rendezvous, we analyze time slot overlap and channel determinism in the rendezvous algorithm and propose a rendezvous algorithm named Multiple Prime Expansion (MPE). In a final simulation study, we compare the performance of the MPE with other existing algorithms in an asymmetric and heterogeneous scenario. Results show that MPE has excellent performance for the ATTR and MTTR.

Highlights

In recent years, numerous cities in China have built an Internet of ings projects to improve the mobility and carrying capacity of data in public fields. ese projects can boost the speed of data collection and optimize city management and services [1]
A number of researchers have improved routing protocols to reduce wireless monitoring energy consumption. ese are divided into several groups, such as node deployment, clustering techniques, and transmission methods [9, 10]. is method can be applied for both applications and engineering [11]
We propose a MPE (Multiple Prime Expansion) algorithm to match asymmetric and heterogeneous requirements. e MPE examined the feedback relationship between the length of a sequence and Time to rendezvous (TTR) to strengthen the discrimination subsequences. e rendezvous algorithm switches to another operation mode when a subsequence reaches certain conditions

Summary

Introduction

Numerous cities in China have built an Internet of ings projects to improve the mobility and carrying capacity of data in public fields. ese projects can boost the speed of data collection and optimize city management and services [1]. Ese projects can boost the speed of data collection and optimize city management and services [1]. More and more data collection systems are based on Wireless Sensor Networks (WSNs) [7]. Us, compared to wired transmission systems, WSN enhances flexibility but requires more resilient energy and timeliness cost. Energy consumption and data timeliness have important implications for WSNs. Routing protocols are widely used in wireless surveillance as tools that can organize wireless nodes to collect information in an orderly manner [8]. A number of researchers have improved routing protocols to reduce wireless monitoring energy consumption. Ese are divided into several groups, such as node deployment, clustering techniques, and transmission methods [9, 10]. A number of researchers have improved routing protocols to reduce wireless monitoring energy consumption. ese are divided into several groups, such as node deployment, clustering techniques, and transmission methods [9, 10]. is method can be applied for both applications and engineering [11]

Methods

Results

Conclusion