WBAN System Organization, Network Performance and Access Control: A Review

2021 ◽  
Author(s):  
Israa Al Barazanchi ◽  
Rina Azlin Razali ◽  
Wahidah Hashim ◽  
Ammar Ahmed Alkahtani ◽  
Haider Rasheed Abdulshaheed ◽  
...  
Keyword(s):  
Access Control ◽  
Network Performance ◽  
System Organization

scholarly journals Network-Coding-Based Cooperative ARQ Medium Access Control Protocol for Wireless Sensor Networks

2011 ◽  
Vol 8 (1) ◽  
pp. 601321 ◽  
Author(s):  
Angelos Antonopoulos ◽  
Christos Verikoukis
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Access Control ◽  
Medium Access Control ◽  
Network Coding ◽  
Network Performance ◽  
Mac Protocol ◽  
Medium Access Control Protocol ◽  
Wireless Sensor ◽  
Medium Access

We introduce a novel Medium Access Control (MAC) protocol for Automatic Repeat reQuest-based (ARQ-based) cooperative wireless sensor networks. Using network coding techniques, we achieve a better network performance in terms of energy efficiency without compromising the offered Quality of Service (QoS). The proposed solution is compared to other cooperative schemes, while analytical and simulation results are provided to evaluate our protocol.

scholarly journals Optimum feedback strategy for access control mechanism modelled as stochastic differential equation in computer network

2004 ◽  
Vol 2004 (3) ◽  
pp. 263-276 ◽  
Author(s):  
N. U. Ahmed ◽  
Cheng Li
Keyword(s):  
Access Control ◽  
Network Performance ◽  
Control Mechanism ◽  
Computer Network ◽  
Random Search ◽  
Computation Time ◽  
Control Law ◽  
Access Control Mechanism ◽  
Computationally Intensive ◽  
Computer Communication Network

We consider optimum feedback control strategy for computer communication network, in particular, the access control mechanism. The dynamic model representing the source and the access control system is described by a system of stochastic differential equations developed in our previous works. Simulated annealing (SA) was used to optimize the parameters of the control law based on neural network. This technique was found to be computationally intensive. In this paper, we have proposed to use a more powerful algorithm known as recursive random search (RRS). By using this technique, we have been able to reduce the computation time by a factor of five without compromising the optimality. This is very important for optimization of high-dimensional systems serving a large number of aggregate users. The results show that the proposed control law can improve the network performance by improving throughput, reducing multiplexor and TB losses, and relaxing, not avoiding, congestion.

scholarly journals A Reservation Protocol Analysis for Multi-Channel Wireless Networks

2017 ◽  
Vol 2 (4) ◽  
pp. 340
Author(s):  
Peristera A. Baziana ◽  
Ioannis E. Pountourakis
Keyword(s):  
Access Control ◽  
Network Performance ◽  
Mac Protocol ◽  
Local Area ◽  
Substantial Contribution ◽  
Data Traffic ◽  
Medium Access ◽  
Reservation Protocol ◽  
Single Radio ◽  
Multi Access

A synchronous multi-channel multi-access Medium Access Control (MAC) protocol for Wireless Local Area Networks (WLANs) is studied in this paper. The proposed protocol introduces an access control reservation scheme and requires a single radio per station. The receiver collisionsphenomenon characterizes the performance of the proposedmulti-channel system. A priority scheme is considered in order to primary serve the time-sensitive traffic such as voice, as compared to the delay tolerant data traffic. The innovation of this paper is the extensive and accurate study of the receiver collisions effect on the network performance in multi-traffic environment. An analytic discrete time Markovian model is developed for finite number of stations and channels. The performance measures of throughput, delay, and average rejection probability at destination are analytically estimated. Numerical results are presented for comparison for various numbers of channels and stations. The proposed MAC protocol provides a substantial contribution to the understanding of wireless multi-channel multi-traffic environments.

scholarly journals The Performance Evaluation of an IEEE 802.11 Network Containing Misbehavior Nodes under Different Backoff Algorithms

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Trong-Minh Hoang ◽  
Van-Kien Bui ◽  
Thanh-Tra Nguyen
Keyword(s):  
Access Control ◽  
Medium Access Control ◽  
Ieee 802.11 ◽  
Analytical Model ◽  
Network Performance ◽  
Mac Layer ◽  
Medium Access ◽  
Ieee 802.11 Mac ◽  
802.11 Mac ◽  
Throughput And Delay

Security of any wireless network is always an important issue due to its serious impacts on network performance. Practically, the IEEE 802.11 medium access control can be violated by several native or smart attacks that result in downgrading network performance. In recent years, there are several studies using analytical model to analyze medium access control (MAC) layer misbehavior issue to explore this problem but they have focused on binary exponential backoff only. Moreover, a practical condition such as the freezing backoff issue is not included in the previous models. Hence, this paper presents a novel analytical model of the IEEE 802.11 MAC to thoroughly understand impacts of misbehaving node on network throughput and delay parameters. Particularly, the model can express detailed backoff algorithms so that the evaluation of the network performance under some typical attacks through numerical simulation results would be easy.

scholarly journals Reinforcement-Learning Based Dynamic Transmission Range Adjustment in Medium Access Control for Underwater Wireless Sensor Networks

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1727
Author(s):  
Dmitrii Dugaev ◽  
Zheng Peng ◽  
Yu Luo ◽  
Lina Pu
Keyword(s):  
Energy Efficiency ◽  
Reinforcement Learning ◽  
Access Control ◽  
Medium Access Control ◽  
Network Performance ◽  
Energy Savings ◽  
Learning Algorithm ◽  
Mac Protocol ◽  
Transmission Range ◽  
Medium Access

In this paper, we propose a reinforcement learning (RL) based Medium Access Control (MAC) protocol with dynamic transmission range control (TRC). This protocol provides an adaptive, multi-hop, energy-efficient solution for communication in underwater sensors networks. It features a contention-based TRC scheme with a reactive multi-hop transmission. The protocol has the ability to adjust to network conditions using RL-based learning algorithm. The combination of TRC and RL algorithms can hit a balance between the energy consumption and network performance. Moreover, the proposed adaptive mechanism for relay-selection provides better network utilization and energy-efficiency over time, comparing to existing solutions. Using a straightforward ALOHA-based channel access alongside “helper-relays” (intermediate nodes), the protocol is able to obtain a substantial amount of energy savings, achieving up to 90% of the theoretical “best possible” energy efficiency. In addition, the protocol shows a significant advantage in MAC layer performance, such as network throughput and end-to-end delay.

scholarly journals Parameter analysis and optimization of polling-based medium access control protocol for multi-sensor communication

2021 ◽  
Vol 17 (4) ◽  
pp. 155014772110074
Author(s):  
Jialin Guo ◽  
Fufang Li ◽  
Tian Wang ◽  
Shaobo Zhang ◽  
Yuqing Zhao
Keyword(s):  
Energy Consumption ◽  
Access Control ◽  
Medium Access Control ◽  
Parameter Optimization ◽  
Network Performance ◽  
Medium Access Control Protocol ◽  
Parameter Analysis ◽  
Medium Access ◽  
Control Protocol ◽  
Adaptive Parameter

In this article, a comprehensive parameter analysis for the polling-based medium access control protocol is executed. The theoretical expressions of the relationship between network parameters and performance including delay and energy consumption are given for the first time. The specific conclusions in this article are as follows: (1) awake duration is the parameter that has the greatest impact on delay and energy consumption. Increasing the duty cycle (awake duration) will effectively reduce the delay, but will also increase the energy consumption within a certain range; (2) increasing polling duration can reduce the delay, but it will also increase the energy consumption; and (3) more forwarding nodes cause a smaller delay, and it can save the energy with modest increase of delay by reducing the polling duration. An adaptive parameter optimization polling-based medium access control protocol is proposed to optimize network performance. In this protocol, the residual energy gets fully used to increase awake duration and polling duration, which makes the delay smaller, and the network maintains a long lifetime meanwhile. Based on the results of the analysis, the adaptive parameter optimization polling-based medium access control protocol proposed in this article reduces the delay by 22.40% and increases the energy efficiency by 23.25%.

scholarly journals Implementasi Packet Filtering Menggunakan Metode Extended Access Control List (ACL) Pada Protokol EIGRP

2020 ◽  
Vol 4 (1) ◽  
pp. 185
Author(s):  
Muhammad Hafizhan ◽  
Moh Iwan Wahyuddin ◽  
Ratih Titi Komalasari
Keyword(s):  
Access Control ◽  
Data Transmission ◽  
Network Performance ◽  
Local Network ◽  
Data Traffic ◽  
Packet Filtering ◽  
Access Control List ◽  
Extended Access

Maintaining security aspects is important for managing network performance so that it can provide optimal services for its users. The difficulty of managing data transmission on a local network (LAN) between two or more divisions, without disrupting data traffic on other divisions, is a major problem for companies. One effort that can be done is to implement an extended access list which is one part of the Access Control List (ACL) method. The extended ACL will be used as packet filtering for each workspace, such as the employee workspace and the manager's workspace. ACL will later run on the EIGRP protocol. the EIGRP protocol will be tested with delay parameters, and the results obtained that by applying the ACL method on EIGRP can provide the availability of networks that have smaller delays with an average of 90.4 ms.

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