P1.9.30 Real Time Multi-hop Routing Protocol for Healthcare System Based on WSN

Chung, Wan-Young; An, Seong-Mo; Lee, Seung−Chul

doi:10.5162/imcs2012/p1.9.30

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many Wireless Sensor Network (WSN) applications call for real-time communication where limited delay requirements have to be satisfied [1]. For example, in the industrial field, the quality of products needs to be monitored and communicated within a short while in order for an enhanced production performance [2][3][4][5]. Furthermore, the relevant parameters to the output performance of the industrial equipment (e.g.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient and Reliable Routing for Real-time Communication in Wireless Sensor Networks

El-Fouly,

Kachout,

Ramadan

et al. 2024

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

Wireless Sensor Networks (WSN) can be part of a tremendous number of applications. Many WSN applications require real-time communication where the sensed data have to be delivered to the sink node within a predetermined deadline decided by the application. In WSNs, the sensor nodes' constrained resources (e.g. memory and power) and the lossy wireless links, give rise to significant difficulties in supporting real-time applications. In addition, many WSN routing algorithms strongly emphasize energy efficiency, while delay is not the primary concern. Thus, WSNs desperately need new routing protocols that are reliable, energy-efficient, and appropriate for real-time applications. The proposed algorithm is a real-time routing algorithm appropriate for delay-sensitive applications in WSNs. It has the ability to deliver data on time while also enabling communications that are reliable and energy-efficient. It achieves this by deciding which candidate neighbors are eligible to participate in the routing process and can deliver the packet before its deadline. In order to lessen the delay of the chosen paths, it also computes the relaying speed for each eligible candidate. Moreover, it takes into account link quality, hop count, and available buffer size of the selected relays, which leads to end-to-end delay reduction while also minimizing energy consumption. Finally, it considers the node's energy consumption rate when selecting the next forwarder to extend the network lifetime. Through simulation experiments, the proposed algorithm has shown improved performance in terms of packet delivery ratio, network lifetime packets miss ratio, average end-to-end delay, and energy imbalance factor.

show abstract

Section: Introductionmentioning

confidence: 99%

Energy-Efficient and Reliable Routing for Real-time Communication in Wireless Sensor Networks

El-Fouly,

Kachout,

Ramadan

et al. 2024

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

show abstract

“…According to Table 1 , the signal strength of a gateway in an indoor environment is affected by distance and obstacles. If the devices sending and receiving data are in different rooms, there is a risk of losing data [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System

Jang

Ryoo

Kim

2021

Sensors

View full text Add to dashboard Cite

In this paper, we propose a hospital sensor network deployment method for smart healthcare systems. Since sensor nodes in hospitals are always in an environment where power can be supplied, it is essential to have stable network connectivity by achieving optimal gateway deployment, rather than focusing on energy efficiency. The proposed technique leads to an access point (AP) layout that minimizes the overall network operation cost. The operation cost is calculated per unit time, and it includes installation cost and maintenance cost. In addition, group numbers are assigned to sensor nodes for guaranteeing network connectivity, no matter where the mobile sensor devices move. The performance of the proposed methodology has been verified through numerical experiments.

show abstract

Threshold‐Based Energy‐Efficient Routing Protocol for Critical Data Transmission to Increase Lifetime in Heterogeneous Wireless Body Area Sensor Network

Deepalakshmi¹,

Venkatamari²

2019

Intelligent Pervasive Computing Systems for Smarter Healthcare

View full text Add to dashboard Cite

P1.9.30 Real Time Multi-hop Routing Protocol for Healthcare System Based on WSN

Cited by 3 publications

References 0 publications

Energy-Efficient and Reliable Routing for Real-time Communication in Wireless Sensor Networks

Energy-Efficient and Reliable Routing for Real-time Communication in Wireless Sensor Networks

Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System

Threshold‐Based Energy‐Efficient Routing Protocol for Critical Data Transmission to Increase Lifetime in Heterogeneous Wireless Body Area Sensor Network

Contact Info

Product

Resources

About