scholarly journals Performance Analysis on IEEE 802.11ah Standard with Enhanced Distributed Channel Access Mechanism

Author(s):  
Ana Oktaviana ◽  
Doan Perdana ◽  
Ridha Muldina Negara

IEEE 802.11ah is a new task group on the IEEE 802.11 standard designed to work on the 900 MHz. It is with a range of communication coverage up to 1kilometer, lower energy consumption, and up to 8191 stations. There are two types of STAs in 802.11ah: sensor type to support sensor service and non-sensor type for offload service. In this research, it only focuses on non-sensor STA. For non-sensor STA, maximizing throughput is more important than power consumption. This research aims to see the performance of IEEE 802.1 1ah with Enhanced Distributed Channel Access (EDCA). To achieve that purpose, a mechanism is needed to provide guarantees various services required by theSTA. EDCA is an access mechanism used to set the Quality of Service (QoS) for the IEEE 802.11 standard through modifications in MAC layer. In this research,it focuses on one of the EDCA parameters, Arbitration Inter-Frame Space (AIFS). In addition, this research also focuses on the 802.11ah feature is Restricted Access Window (RAW) by changing the number of the RAW groups. From the results of the research, it is found that the improvement scheme with Arbitration Inter-Frame Space Number (AIFSN) value AC BK = 2, AC BE = 1, AC VI = 1, AC VO = 1 has better performance compared to the default scheme with AIFSN value AC BK = 7, AC BE = 3, AC VI = 2, AC VO = 2) with an average throughput of 1.504598 Mbps, average overall delay of 0.066242 second and average PDR of 62%. In addition, changes in the number of RAW groups and RAW slots affect network performance. This feature can improve the value of throughput, average delay, and Packet Delivery Ratio. The goals of this research is to know the effect of AIFSN value changes on AIFSN parameters, variation of RAW group and RAW slot number to throughput,average delay and packet delivery ratio.

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Ana Oktaviana ◽  
Doan Perdana ◽  
Ridha Muldina Negara

The increasing needs and demands of diverse services by the users to be able to exchange and obtain information in real time, reliable, and flexible to be one of the problems faced by existing communication technology. WLAN on the IEEE 802.11 standard is one of the wireless technologies that can be the solution of the problem. It has a relatively small area of ??communication that is between 20-70 meters only, only able to serve up to 2007 stations, and has considerable energy consumption, causing some systems contained in the WLAN in IEEE 802.11 standard less work maximally. With these shortcomings, the WLAN on the IEEE 802.11 standard introduces a new task group called IEEE 802.11ah. IEEE 802.11ah is a new WLAN standard working on the 900 MHz frequency spectrum, a 1 kilometer communications coverage area, capable of serving 8192 stations with new AID hierarchies, has lower energy consumption and can increase throughput value by RAW mechanism. This study will make changes to the number of RAW slots in the IEEE 802.11ah to see how they affect the network performance. In this research it is found that the change of RAW slot number influence to network performance, in this case is throughput, average delay, packet delivery ratio and energy consumption.


2018 ◽  
Vol 10 (4) ◽  
pp. 163
Author(s):  
Mulki Nurullah Perbawa ◽  
Doan Perdana ◽  
Yoseph Gustommy Bisono

IEEE 802.11 standard is a WLAN (Wireless LAN) standard that has been used in all over the world. IEEE 802.11ah is the newer technology that designed to supports Internet of Things (IoT) and Machine-to-machine Communication (M2M).  IEEE 802.11ah has a feature called Restricted Access Window (RAW) that capable to reduce power usage and have satisfying Quality of Service (QoS). In this research, Enhanced Distributed Channel Access (EDCA) is also applied. Same as RAW, EDCA also be able to affect QoS by modified the MAC Layer in 802.11 standard. This research used 3 different scenarios for RAW parameters: Modifying the number of RAW Group, Modifying the number of RAW Slot, and Comparing 2 Datamode. The EDCA Parameters that used in this research were: Contention Window and Arbitrary inter-frame Spacing Number.  The values that expected to be the output in this research are: Delay, Throughput, Packet Delivery Ratio, Availability, and Reliability. After the research has been simulated, the results are: First, the lowest of average delay was Ngroup = 1, the highest of PDR was Ngroup = Nsta/2, and the highest of Throughput was Ngroup = Nsta/2. Second, the lowest of average delay was RAW Slot = 6, the highest of PDR were RAW Slot = 3 and 4, and the highest of Throughput was RAW Slot = 4. Third, the lowest of average delay was Datamode 3,9 Mbps BW 2 MHz, the highest of PDR was Dat mode 3,9 Mbps BW 2 MHz, and the highest of Throughput was Datamode 3,9 Mbps BW 2 MHz. Reliability, Availability, and Energy Consumption also can be affected by modifying RAW parameters, in 802.11ah Energy Consumption can be reduced by increasing the number of RAW Stations and RAW Groups.


2018 ◽  
Vol 14 (4) ◽  
pp. 155014771877253 ◽  
Author(s):  
Mohammed Abdulhakim Al-Absi ◽  
Ahmed Abdulhakim Al-Absi ◽  
TaeYong Kim ◽  
Hoon Jae Lee

Developing a secure and smart intelligent transport system for both safety and non-safety application services requires a certain guarantee of network performance, especially in terms of throughput and packet collision performance. The vehicular ad hoc network propagation is strongly affected due to varying nature of the environment. The existing radio propagation path loss models are designed by using mean additional attenuation sophisticated fading models. However, these models do not consider the obstacle caused due to the obstacle of the vehicle in line of sight of the transmitting and receiving vehicle. Thus, the attenuation signal at the receiving vehicles/devices is affected. To address this issue, we present an obstacle-based radio propagation model that considers the effect caused due to the presence of obstructing vehicle in line of sight. This model is evaluated under different environmental conditions (i.e. city, highway, and rural) by varying the speed of vehicles and vehicles’ density. The performance of the model is evaluated in terms of throughput, collision, transmission efficiency, and packet delivery ratio. The overall result shows that the proposed obstacle-based throughput model is efficient considering varied speed and density. For instance, in the city environment, the model achieves an average improvement of 9.98% and 25.02% for throughput performance over other environments by varying the speed and density of devices respectively and an improvement of 15.04% for packet delivery ratio performance over other environments considering varied speed of devices.


2021 ◽  
Vol 23 (05) ◽  
pp. 526-544
Author(s):  
Ashwini V. Jatti ◽  
◽  
Dr V. J. K. Kishor Sonti ◽  

This study presents sinkhole attack detection and prevention using agent-based algorithm. In this algorithm, agents are used to provide information to all node from its reliable neighbors by negotiation in three steps, thus nodes may not be able to pay the attention to the traffic made by sinkhole attacker. In this work, network scale of 500×500 m2 square areas have been considered. Series of simulation are carried in each experiment. Every simulation run is being organized to work for 10mins. Network performance is evaluated in terms of throughput, packet delivery ratio, jitter, delay in packets delivery, data packets received, data packets drop using network simulations software. Network simulation results depicts that in proposed algorithm, throughput increases by 15 to 20 percent, packet delivery ratio increases by 30 to 40%, decrease in the jitter by 10 to 15 %, delay in packets delivery is decreased by 15 to 20 %, data packets received are increased by 15 to 20 % and number of the data packets drop are decreased by 5 to 15 %. Based on simulation results throughput, packet delivery ratio and data packets received increased in proposed agent-based algorithm. However, it is observed that, jitter, delay in packets delivery and data packets drop were decreased.


Author(s):  
Sonal Telang Chandel ◽  
Sanjay Sharma

Background & Objective: Currently, WSN (Wireless Sensor Networks) provides a variety of services in industrial and commercial applications. WSN consists of nodes that are used to sense the environments like humidity, temperature, pressure, sound, etc. As the use of WSN grows there are some issues like coverage, fault tolerance, a deployment problem, localization, Quality of Service, etc. which needs to be resolved. Sink deployment is a very important problem because it is not the only impact on performance, but also influence on deployment cost. In traditional WSN, a single sink is deployed in the network, which aggregates all the data. Due to this, the whole network is suffering from some serious issues like delay, congestion, network failure that reduces network performance. Methods: One solution is to deploy multiple sinks instead of a single sink. Deploying multiple sinks can improve network performance, but increases sink deployment cost. In this paper, an ISDOA (Improved Sink Deployment Optimization Algorithm) is proposed to find the optimum number of sinks and their optimum location in ROI. Simulation is carried out in Matlab simulator. The impact of sensors and sinks on various network performance parameters like throughput, network lifetime, packet delivery ratio, energy consumption and cost of the network is analyzed. Results & Conclusion: It is shown by simulation results that the number of sinks varies inversely with energy consumption of the nodes; and it is linearly proportional to the network lifetime, throughput and packet delivery ratio. Furthermore, results show that the proposed approach outperforms random deployment with 25% higher throughput, 30% better network lifetime, 15% lesser energy consumption and 21% optimized cost of the network, respectively.


2016 ◽  
Vol 8 (2) ◽  
pp. 100
Author(s):  
Muhammad Irfan Denatama ◽  
Doan Perdana ◽  
Ridha Muldina Negara

Dewasa ini, teknologi informasi yang praktis dan efisien sangatlah dibutuhkan. Jaringan ad hoc merupakan teknologi wireless LAN (WLAN) yang tidak membutuhkan suatu infrastruktur seperti base station pada jaringannya. Akan tetapi, teknologi wireless sering kali memiliki keterbatasan resource. Standar IEEE 802.11ah didesain untuk bekerja pada frekuensi sub – 1 GHz, jangkauan transmisinya mencapai 1 Km, konsumsi daya yang rendah, serta dapat melayani ribuan station untuk sebuah access point. Pada penelitian ini telah membandingkan protokol routing DSDV dan OLSR pada standar IEEE 802.11ah dengan menggunakan NS 3. Sedangkan parameter perbandingan yang digunakan adalah throughput, packet delivery ratio, rata – rata delay, dan konsumsi energi. Berdasarkan hasil yang didapat, protokol routing OLSR memiliki kinerja yang lebih baik dibandingkan protokol routing DSDV pada skenario perubahan kecepatan. Nilai rata – rata throughput untuk OLSR adalah 28400 Bps sedangkan untuk DSDV adalah 2934 Bps. Nilai rata – rata PDR untuk OLSR adalah 14,582 % sedangkan untuk DSDV adalah 2,7 %. Nilai rata – rata delay untuk OLSR adalah 0,04453994 s sedangkan untuk DSDV adalah 0,6261986 s. Sedangkan rasio perbandingan untuk konsumsi energi antara protokol routing OLSR dan DSDV adalah 1,48 % untuk skenario perubahan kecepatan.


2020 ◽  
Vol 13 (2) ◽  
pp. 147-157 ◽  
Author(s):  
Neha Sharma ◽  
Sherin Zafar ◽  
Usha Batra

Background: Zone Routing Protocol is evolving as an efficient hybrid routing protocol with an extremely high potentiality owing to the integration of two radically different schemes, proactive and reactive in such a way that a balance between control overhead and latency is achieved. Its performance is impacted by various network conditions such as zone radius, network size, mobility, etc. Objective: The research work described in this paper focuses on improving the performance of zone routing protocol by reducing the amount of reactive traffic which is primarily responsible for degraded network performance in case of large networks. The usage of route aggregation approach helps in reducing the routing overhead and also help achieve performance optimization. Methods: The performance of proposed protocol is assessed under varying node size and mobility. Further applied is the firefly algorithm which aims to achieve global optimization that is quite difficult to achieve due to non-linearity of functions and multimodality of algorithms. For performance evaluation a set of benchmark functions are being adopted like, packet delivery ratio and end-to-end delay to validate the proposed approach. Results: Simulation results depict better performance of leading edge firefly algorithm when compared to zone routing protocol and route aggregation based zone routing protocol. The proposed leading edge FRA-ZRP approach shows major improvement between ZRP and FRA-ZRP in Packet Delivery Ratio. FRA-ZRP outperforms traditional ZRP and RA-ZRP even in terms of End to End Delay by reducing the delay and gaining a substantial QOS improvement. Conclusion: The achievement of proposed approach can be credited to the formation on zone head and attainment of route from the head hence reduced queuing of data packets due to control packets, by adopting FRA-ZRP approach. The routing optimized zone routing protocol using Route aggregation approach and FRA augments the QoS, which is the most crucial parameter for routing performance enhancement of MANET.


Author(s):  
Rajnesh Singh ◽  
Neeta Singh ◽  
Aarti Gautam Dinker

TCP is the most reliable transport layer protocol that provides reliable data delivery from source to destination node. TCP works well in wired networks but it is assumed that TCP is less preferred for ad-hoc networks. However, for application in ad-hoc networks, TCP can be modified to improve its performance. Various researchers have proposed improvised variants of TCP by only one or two measures. These one or two measures do not seem to be sufficient for proper analysis of improvised version of TCP. So, in this paper, the performance of different TCP versions is investigated with DSDV and AODV routing Protocols. We analyzed various performance measures such as throughput, delay, packet drop, packet delivery ratio and number of acknowledgements. The simulation results are carried out by varying number of nodes in network simulator tool NS2. It is observed that TCP Newreno achieved higher throughput and packet delivery ratio with both AODV and DSDV routing protocols.Whereas TCP Vegas achieved minimum delay and packet loss with both DSDV and AODV protocol. However TCP sack achieved minimum acknowledgment with both AODV and DSDV routing protocols. In this paper the comparison of all these TCP variants shows that TCP Newreno provides better performance with both AODV and DSDV protocols.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1942
Author(s):  
Rogaia Mhemed ◽  
Frank Comeau ◽  
William Phillips ◽  
Nauman Aslam

Much attention has been focused lately on the Opportunistic Routing technique (OR) that can overcome the restrictions of the harsh underwater environment and the unique structures of the Underwater Sensor Networks (UWSNs). OR enhances the performance of the UWSNs in both packet delivery ratio and energy saving. In our work; we propose a new routing protocol; called Energy Efficient Depth-based Opportunistic Routing with Void Avoidance for UWSNs (EEDOR-VA), to address the void area problem. EEDOR-VA is a reactive OR protocol that uses a hop count discovery procedure to update the hop count of the intermediate nodes between the source and the destination to form forwarding sets. EEDOR-VA forwarding sets can be selected with less or greater depth than the packet holder (i.e., source or intermediate node). It efficiently prevents all void/trapped nodes from being part of the forwarding sets and data transmission procedure; thereby saving network resources and delivering data packets at the lowest possible cost. The results of our extensive simulation study indicate that the EEDOR-VA protocol outperforms other protocols in terms of packet delivery ratio and energy consumption


Author(s):  
RENDI DIAN PRASETIA ◽  
DOAN PERDANA ◽  
RIDHA MULDINA NEGARA

ABSTRAKSalah satu permasalahan di kota-kota besar adalah kemacetan lalu lintas yang disebabkan karena tidak mencukupinya ruas jalan, volume kendaraan yang begitu besar, persebaran kendaraan yang tidak merata dan lain-lain. Salah satu solusinya adalah para pengendara dapat menggunakan aplikasi peta digital pada smartphone-nya. Oleh karena itu perlu dilakukan pengimbangan beban trafik kendaraan. Pada penelitian ini akan dibahas mengenai kinerja VANET yang menggunakan protokol routing GPSR dan AODV dengan skema pengimbangan beban trafik kendaraan dengan pengaruh kepadatan node. Perancangan sistem simulasi terbagi menjadi dua subsistem yaitu subsistem mobilitas dan jaringan. Kemudian dilakukan pengimbangan beban trafik kendaraan, dan kinerja VANET akan diamati. Performansi dievaluasi dengan average end to end delay, throughput, dan packet delivery ratio. Nilai rata-rata throughput, PDR, delay untuk GPSR adalah 142.21 Kbps, 87.47 %, dan 82.83 ms. Sedangkan AODV adalah 119.81 Kbps, 86.67 %, dan 103.21 ms. Dari hasil penelitian nilai QoS performansi dari routing protocol GPSR lebih baik dari pada AODV pada VANET.Kata kunci: Vanet, Pengimbangan Beban, GPSR, AODV.ABSTRACTOne of the problems in big cities is congestion. The congestion is caused byinsufficient road segment, large volume of vehicles, unbalanced spread ofvehicles and others. One solution is that riders can use digital map applications on their smartphones. Therefore it is necessary to balancing the traffic load of vehicles. In this research will be discussed about VANET performance using GPSR and AODV routing protocol with vehicle traffic load balancing scheme with node density influence. The design of the simulation system is divided into two subsystems namely mobility and network subsystem. Then balancing the vehicle traffic load, and VANET performance will be observed. Performance is evaluated with the average end to end delay, throughput, and packet delivery ratio. The mean value of throughput, PDR, delay for GPSR respectively 142.21 Kbps, 87.47%, and 82.83 ms. While AODV is 119.81 Kbps, 86.67%, and 103.21 ms. From the simulation results can be concluded that the performance of GPSR is better than AODV on VANET. Keywords: Vanet, Load Balancing, GPSR, AODV.


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