A Node and Network Level Self-Recovering Distributed Wireless Sensor Architecture for Real-Time Crop Monitoring in Greenhouses

Background: Real Time Wireless Sensor Networks (RT-WSN) have hard real time packet delivery requirements. Due to resource constraints of sensors, these networks need to trade-off energy and latency. Objective: In this paper, a routing protocol for RT-WSN named “SPREAD” has been proposed. The underlying idea is to reserve laxity by assuming tighter packet deadline than actual. This reserved laxity is used when no deadline-meeting next hop is available. Objective: As a result, if due to repeated transmissions, energy of nodes on shortest path is drained out, then time is still left to route the packet dynamically through other path without missing the deadline. Results: Congestion scenarios have been addressed by dynamically assessing 1-hop delays and avoiding traffic on congested paths. Conclusion: Through extensive simulations in Network Simulator NS2, it has been observed that SPREAD algorithm not only significantly reduces miss ratio as compared to other similar protocols but also keeps energy consumption under control. It also shows more resilience towards high data rate and tight deadlines than existing popular protocols.

Download Full-text

Implementation of 802.15.4 Wireless Sensor Network in Real-time Monitoring and Control System for Green House

International Journal of Urban Design for Ubiquitous Computing ◽

10.21742/ijuduc.2015.3.2.02 ◽

2015 ◽

Vol 3 (2) ◽

pp. 9-22

Author(s):

Jaypal Baviskar ◽

◽

Afshan Mulla ◽

Amol Baviskar ◽

Jeet Desai ◽

...

Keyword(s):

Control System ◽

Wireless Sensor Network ◽

Real Time ◽

Sensor Network ◽

Wireless Sensor ◽

Monitoring And Control ◽

Real Time Monitoring ◽

Monitoring And Control System ◽

Green House ◽

And Control

Download Full-text

A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

International Journal of Online Engineering (iJOE) ◽

10.3991/ijoe.v14i01.8056 ◽

2018 ◽

Vol 14 (01) ◽

pp. 4

Author(s):

Wang Weidong

Keyword(s):

Wireless Sensor Network ◽

Real Time ◽

Sensor Network ◽

Monitoring System ◽

Remote Monitoring ◽

Monitoring Network ◽

Sensor Nodes ◽

Wireless Sensor ◽

Remote Monitoring System ◽

Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

Download Full-text

An Adaptive Scheduler for Real-Time Operating Systems to Extend WSN Nodes Lifetime

Wireless Communications and Mobile Computing ◽

10.1155/2018/4185650 ◽

2018 ◽

Vol 2018 ◽

pp. 1-10 ◽

Cited By ~ 4

Author(s):

Roberto Rodriguez-Zurrunero ◽

Ramiro Utrilla ◽

Elena Romero ◽

Alvaro Araujo

Keyword(s):

Operating System ◽

Real Time ◽

Operating Systems ◽

Research Area ◽

Rechargeable Batteries ◽

Wireless Sensor ◽

Portable Devices ◽

Wireless Devices ◽

Changing Environments ◽

Tasks Scheduling

Wireless Sensor Networks (WSNs) are a growing research area as a large of number portable devices are being developed. This fact makes operating systems (OS) useful to homogenize the development of these devices, to reduce design times, and to provide tools for developing complex applications. This work presents an operating system scheduler for resource-constraint wireless devices, which adapts the tasks scheduling in changing environments. The proposed adaptive scheduler allows dynamically delaying the execution of low priority tasks while maintaining real-time capabilities on high priority ones. Therefore, the scheduler is useful in nodes with rechargeable batteries, as it reduces its energy consumption when battery level is low, by delaying the least critical tasks. The adaptive scheduler has been implemented and tested in real nodes, and the results show that the nodes lifetime could be increased up to 70% in some scenarios at the expense of increasing latency of low priority tasks.

Download Full-text