Distributed Reservation-Based MAC Protocol for UWB WiMedia MAC

2012 ◽  
Author(s):  
Jiseon Lee ◽  
Hyeonmok Ko ◽  
Cheeha Kim
Keyword(s):  
Mac Protocol ◽  
Wimedia Mac

Deterministic Channel Access in WiMedia MAC Protocol

2010 ◽  
Author(s):  
Hyunhee Park ◽  
Sangheon Pack ◽  
Yongsun Kim ◽  
Chul-Hee Kang ◽  
Sungho Hwang
Keyword(s):  
Mac Protocol ◽  
Channel Access ◽  
Wimedia Mac

A MAS Information Management Method for WiMedia MAC Protocol

2009 ◽  
Vol 9 (4) ◽  
pp. 205-208 ◽  
Author(s):  
Tae-Wook Chung ◽  
Chul-Ho Chung ◽  
Jae-Seok Kim
Keyword(s):  
Information Management ◽  
Mac Protocol ◽  
Management Method ◽  
Wimedia Mac

Optimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach

2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho
Keyword(s):  
Intelligent Transportation System ◽  
Search Algorithm ◽  
Mac Protocol ◽  
High Mobility ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Traffic Density ◽  
Scheduling Problem ◽  
Broadcast Scheduling

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.

An Ultra-low Power Consumption MAC Protocol Complied with IEEE 802.15.4/4e for Wireless Smart Utility Networks

2016 ◽  
Vol 136 (11) ◽  
pp. 1555-1566 ◽  
Author(s):  
Jun Fujiwara ◽  
Hiroshi Harada ◽  
Takuya Kawata ◽  
Kentaro Sakamoto ◽  
Sota Tsuchiya ◽  
...  
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Ieee 802.15.4 ◽  
Mac Protocol ◽  
Low Power Consumption ◽  
Ultra Low Power
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