Performance Evaluation of IEEE 802.15.4 Physical Layer Using MatLab/Simulink

Alnuaimi, Mariam; Shuaib, Khaled; Jawhar, Imad

doi:10.1109/innovations.2006.301905

Cited by 25 publications

(15 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The received signal can be expressed as Assuming that in the transmitter side, a random integer generator block generates some number of samples. Those samples are taken as input to the spreader block, which will spread every 4 bits data symbol into 32 sequences for the 2.4 GHz model and will spread every 1 bit input into 16 sequences for the 868/915 MHz model, according to chip mapping tables like shown in [19]. Then those integers are taken as input to the BPSK/OQPSK modulation block depends on model used.…”

Section: Related Workmentioning

confidence: 99%

Improving BER Performance of IEEE 802.15.4 with Alamouti Scheme in MIMO System

Halim¹,

Shin²

2013

Journal of Korean Society for Internet Information

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

Improving BER Performance of IEEE 802.15.4 with Alamouti Scheme in MIMO System

Halim¹,

Shin²

2013

Journal of Korean Society for Internet Information

View full text Add to dashboard Cite

“…It has also been shown that the best standard taking into consideration the constraints of indoor networks is IEEE 802.15.4 [4]. Furthermore, the ZigBee network is has the least, compared with other wireless networks, SNR [5,6], which makes it the best standard for indoor applications, where noise has a strong presence, especially in industrial manufacturing.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Hardware and Improved Cluster-Tree Topology for Lifetime Prolongation in ZigBee Sensor Networks

Ouadou

Zytoune

Hillali

et al. 2017

JSAN

View full text Add to dashboard Cite

Abstract:In wireless sensor networks, building energy-efficient systems is one of the major challenges. In such networks, nodes are usually supplied by low power and small batteries. Many factors are involved in the energy consumption, and this issue may be considered as a cross-layer problem, from the hardware architecture to the application layer. This paper aims at presenting a hybrid solution for sensor networks based on two main aspects. The first one is the hardware architecture, where we present a prototype of a sensor node we designed. This node proved its efficiency in terms of energy consumption. The second aspect is related to the topology construction and presents a new topology control algorithm based on graph computing. Thus, our system consists of a real indoor application for temperature and humidity monitoring, applicable to home automation or industrial monitoring. We performed the experiments using a set of sensor nodes deployed over a building and proved the efficiency of the system in terms of energy consumption, network lifetime and data delivery.

show abstract

“…Hundreds and thousands of these sensors are deployed as wireless sensor networks (WSN) serving many applications based on the specific requirements of each one 4,5,6 . Nowadays, there are many applications of sensor networks covering different fields such as agriculture, medicine, military, environment monitoring, intrusion detection, motion tracking, machine malfunction, and many others 2 .…”

Section: Introductionmentioning

confidence: 99%

Ferry-based Data Gathering in Wireless Sensor Networks with Path Selection

Alnuaimi¹,

Shuaib²,

Alnuaimi³

et al. 2015

Procedia Computer Science

View full text Add to dashboard Cite

Depending on the application, mobile ferries can be used for collecting data in a WSN especially those at a large-scale with delay tolerant applications. Unlike data collection via multi-hop forwarding among the sensing nodes, ferries travel across the sensing field to collect data. A ferry based approach eliminates or minimizes the need for multi-hop forwarding of data, and as a result energy consumption at the nodes will be significantly reduced especially nodes that are near the base station as they are used by other nodes to forward data to the base station. However, this increases data delivery latency and as such might not be suitable for all applications. In this paper an efficient data collection scheme using a ferry node is proposed with emphasis of the effect of ferry's path. In this scheme the decision of selecting cluster heads is based on their residual energy and their distance from the ferry path. We simulated the proposed scheme in MATLAB using different scenarios to show their performance in terms of the network lifetime and total energy consumption in the network. We found that the centered and the diagonal fitted paths performed better than the diagonal path in terms of the network lifetime and energy consumed. We also found that increasing the check points increases the lifetime of the network

show abstract

Performance Evaluation of IEEE 802.15.4 Physical Layer Using MatLab/Simulink

Cited by 25 publications

References 3 publications

Improving BER Performance of IEEE 802.15.4 with Alamouti Scheme in MIMO System

Improving BER Performance of IEEE 802.15.4 with Alamouti Scheme in MIMO System

Energy Efficient Hardware and Improved Cluster-Tree Topology for Lifetime Prolongation in ZigBee Sensor Networks

Ferry-based Data Gathering in Wireless Sensor Networks with Path Selection

Contact Info

Product

Resources

About