2019
DOI: 10.32604/cmc.2019.05195
|View full text |Cite
|
Sign up to set email alerts
|

Maximum Data Generation Rate Routing Protocol based on Data Flow Controlling Technology for Rechargeable Wireless Sensor Networks

Abstract: For rechargeable wireless sensor networks, limited energy storage capacity, dynamic energy supply, low and dynamic duty cycles cause that it is unpractical to maintain a fixed routing path for packets delivery permanently from a source to destination in a distributed scenario. Therefore, before data delivery, a sensor has to update its waking schedule continuously and share them to its neighbors, which lead to high energy expenditure for reestablishing path links frequently and low efficiency of energy utiliza… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
29
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
10

Relationship

2
8

Authors

Journals

citations
Cited by 33 publications
(29 citation statements)
references
References 24 publications
0
29
0
Order By: Relevance
“…The paper [11] proposed an enhanced high-performance aggregation algorithm, determine the best communication distance, set thresholds, and use mobile technology to reduce energy consumption between nodes. The paper [12] proposed a maximum data generation rate routing algorithm based on data flow control technology, which greatly reduced the time synchronization energy consumption. The paper [13] proposed a new coverage control algorithm based on PSO, by dividing the entire network into multiple A grid to increase coverage and reduce energy consumption.…”
Section: Related Workmentioning
confidence: 99%
“…The paper [11] proposed an enhanced high-performance aggregation algorithm, determine the best communication distance, set thresholds, and use mobile technology to reduce energy consumption between nodes. The paper [12] proposed a maximum data generation rate routing algorithm based on data flow control technology, which greatly reduced the time synchronization energy consumption. The paper [13] proposed a new coverage control algorithm based on PSO, by dividing the entire network into multiple A grid to increase coverage and reduce energy consumption.…”
Section: Related Workmentioning
confidence: 99%
“…Similarly, Particle Swarm Optimization (PSO) based energy systematic coverage control approach for WSNs was proposed by Ju et al in [44]. To make the most of the data generation rate, routing protocols on the data collation controlling technology for reusable WSNs [45] and localization base evolution routing (LOBER) for an optimum collation of information in wireless multisensor networks [46] were proposed. In the same way, [47] discussed the approach of an enhanced energy-efficient forum in sensor information systems (EPEGASIS) algorithm to lift the major occurrences from various aspects, which are direct communication distance, threshold value, and mobile sink technology to adjust their communication ranges.…”
Section: Mobile Information Systemsmentioning
confidence: 99%
“…At present, the mainstream pest and disease monitoring technologies applied internationally can be divided into two categories: IoT technology and remote-sensing technology. The IoT technology has emerged as a significant promising technology [26,27], containing numerous inexpensive sensor nodes randomly scattered over the area of interest to collect information on entities of interest [27][28][29], have been used for wide-ranging applications in the fields of climate simulation monitoring [30], real-time video monitoring of pests and diseases [31], and real-time early warning systems for predicting the occurrence of pests and diseases [32]. For agroclimatic diseases (such as wheat powdery mildew), the establishment of climate models through data collected by small climatic instruments arranged in the field can markedly reduce the incidence of pests of crops [33].…”
Section: Related Workmentioning
confidence: 99%