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Full-Text Articles in Engineering
Remote Beehive Monitoring Using Acoustic Signals, Amro Qandour, Iftekhar Ahmad, Daryoush Habibi, Mark Leppard
Remote Beehive Monitoring Using Acoustic Signals, Amro Qandour, Iftekhar Ahmad, Daryoush Habibi, Mark Leppard
Research outputs 2014 to 2021
Recent developments in Wireless Sensor Networks (WSNs) have led to their use in remote data acquisition and automatic data analysis applications, which have proven to be an invaluable tool in a diverse range of fields including biosecurity. Further indications have been found that honeybee health can be monitored and determined through the use of acoustic analysis. In this paper, we present a system that has the ability to remotely detect the presence of pest infestation on a colony of honeybees by comparing the acoustic fingerprint of a hive to a fingerprint of known status. This will aid the goals of …
Energy Efficiency Performance Improvements For Ant-Based Routing Algorithm In Wireless Sensor Networks, A. M. Zungeru, Kah Phooi Seng, Li-Minn Ang, W.C. Chia
Energy Efficiency Performance Improvements For Ant-Based Routing Algorithm In Wireless Sensor Networks, A. M. Zungeru, Kah Phooi Seng, Li-Minn Ang, W.C. Chia
Research outputs 2013
The main problem for event gathering in wireless sensor networks (WSNs) is the restricted communication range for each node. Due to the restricted communication range and high network density, event forwarding in WSNs is very challenging and requires multihop data forwarding. Currently, the energy-efficient ant based routing (EEABR) algorithm, based on the ant colony optimization (ACO) metaheuristic, is one of the state-of-the-art energy-aware routing protocols. In this paper, we propose three improvements to the EEABR algorithm to further improve its energy efficiency. The improvements to the original EEABR are based on the following: (1) a new scheme to intelligently initialize …
An Adaptive Lossless Data Compression Scheme For Wireless Sensor Networks, Jonathan Gana Kolo, S. Andan Shanmugam, David Wee Gin Lim, Li-Minn Ang, Kah Phooi Seng
An Adaptive Lossless Data Compression Scheme For Wireless Sensor Networks, Jonathan Gana Kolo, S. Andan Shanmugam, David Wee Gin Lim, Li-Minn Ang, Kah Phooi Seng
Research outputs 2012
Energy is an important consideration in the design and deployment of wireless sensor networks (WSNs) since sensor nodes are typically powered by batteries with limited capacity. Since the communication unit on a wireless sensor node is the major power consumer, data compression is one of possible techniques that can help reduce the amount of data exchanged between wireless sensor nodes resulting in power saving. However, wireless sensor networks possess significant limitations in communication, processing, storage, bandwidth, and power. Thus, any data compression scheme proposed for WSNs must be lightweight. In this paper, we present an adaptive lossless data compression (ALDC) …
Performance Of Termite-Hill Routing Algorithm On Sink Mobility In Wireless Sensor Networks, Adamu M Zungeru, Li-Minn Ang, Kah Phooi Seng
Performance Of Termite-Hill Routing Algorithm On Sink Mobility In Wireless Sensor Networks, Adamu M Zungeru, Li-Minn Ang, Kah Phooi Seng
Research outputs 2012
High efficient and energy-aware routing is an important issue for the design of resource constrained environments like Wireless Sensor Networks (WSNs). Many protocols have been developed for WSN that try to overcome the constraints that characterized this type of networks. Termite based routing protocols can add a significant contribution to assist in the maximization of the network lifetime without performance degradation. But this is only possible by means of an adaptable and balanced algorithm that takes into account the main constraints of WSN. This paper presents a biological inspired self-organized routing protocol for WSN which is based on termite colony …
A New Wsn Paradigm For Environmental Monitoring And Data Collection, Eric Dines, Hasanain Al-Majeed, Asanka Fernando, Mutaz Abdalla, Jaydeepsinh Gohil
A New Wsn Paradigm For Environmental Monitoring And Data Collection, Eric Dines, Hasanain Al-Majeed, Asanka Fernando, Mutaz Abdalla, Jaydeepsinh Gohil
Research outputs 2012
Data collection of environmental phenomena has traditionally been a very manual process. Even the advent of electronic data logging instruments has not significantly reduced the workload for managing instruments in the field. Recently however, low-cost microcontroller systems with wireless connectivity, called wireless sensor networks (WSNs) have been developed. With the proliferation of low-cost sensing elements, WSNs should be transforming environmental monitoring, but certain shortcomings in the current WSN paradigm have conspired against widespread field deployment. These are: battery capacity limitations; specialised wireless protocols that exclude WSNs from direct integration into existing data networks; and closed rather than open and extensible …