Impact of Beacon Order and Superframe Order on IEEE 802.15.4 for Nodes Association in WBAN
Journal Title: EAI Endorsed Transactions on Energy Web - Year 2017, Vol 4, Issue 17
Abstract
IEEE 802.15.4, Low data Rate low power Wireless Personal Area Network (LR-WPAN) standard uses fixed duty cycle of the superframe operation. Fixed duty cycle operation of the stated standard suffers from several network issues like Personal Area Network (PAN) tedious initialization interval, nodes association duration, number of associated nodes, average network delay, throughput and nodes energy etc. Low duty cycle control operation with lower energy consumption of the network is one of the attractive feature of IEEE 802.15.4. Two superframe parameters Beacon Order (BO) and Superframe Order (SO) decide the beacon interval and duty cycle of the standard and has a strong impact on the performance of other network parameters. In this paper we analyze the IEEE 802.15.4 MAC with brief simulations by varying the two superframe parameters BO and SO to accomplish the finest performance of the WBAN network.
Authors and Affiliations
Adil Sheraz, Wajid Ullah Khan, Javed Iqbal Bangash, Syed Irfan Ullah, Abdus Salam, Abdul Waheed Khan, Sheeraz Ahmed
Simulation Modes Of Relay Protection Devices In Networks With Insulated Neutral
This program was developed as a universal model of typical devices for protecting electrical networks with insulated neutral. Imitation experiments are executed by the design of working operating and emergency modes. It...
Smart Grid Security with Cryptographic Chip Integration
Smart grid is the modern digital electricity delivery system based on duplex communication between electrical grid and consumers. The smart grid includes several operations and energy measures comprising renewable energy...
Sizing, modelling and simulation for Hybrid Central PV/wind turbine/diesel generator for feeding rural village in South Algeria
In this study, a hybrid system has been modulate and simulated, this system is composed with three generators, two on renewable energy (solar and wind power) and one on combustible energy (diesel generator). This central...
Improved Prediction of Wind Speed using Machine Learning
The prediction of wind speed plays a significant role in wind energy systems. An accurate prediction of wind speed is more important for wind energy systems, but it is difficult due to its uncertain nature. This paper pr...
Development of the video stream object detection algorithm (VSODA) with tracking
The object tracking is one of the most important task in video analysis. Many methods have been proposed such as TLD (Tracking, Learning, Detection), Meanshift and MIL but they show good accuracy in laboratory cases, not...