scholarly journals Routing the Messages to Grid Channel Based Model in Wireless Mesh Networks

2020 ◽  
Vol 2 (2) ◽  
pp. 116-119
Author(s):  
Ranjit Singh ◽  
Rakesh Poonia
Keyword(s):  
Mesh Networks ◽  
Multipath Propagation ◽  
Cluster Head ◽  
Network Simulator ◽  
Channel State ◽  
Neighboring Node ◽  
Wireless Mesh ◽  
Proposed Model ◽  
Packet Header ◽  
Ipv4 Address

Earlier the work has analyzed and implemented through IPV4 based traffic. The researchers have address the source IPv4 based routing in MRMC method. The router configures with a standard IPV4 based network extracts the source IPV4 address from the packet Header. This paper has been defined the network topology which was work on IPV6 protocol and it may also support IPV4 protocol. This paper implements the equalization that takes observation of channel state. The stations collect channel state information to their neighboring node, later on it was transfer to Gateway. The collected information was only possible through equalization method. In general, the equalization divided into two ways, per symbol and Sequence based which are according to receiver Theory. We are using sequence based theory under equalization that take data from maximum likelihood neighbors. We were used proposed Hybrid that take the existing method and combine with dynamic channel method. The proposed model avoids the multipath propagation problem and that problem only arise when we changes the channel from one wavelength to another wavelength. This paper showed proposed results that would be analysis the position of the packets in cluster head (CH). The router is taking as the cluster head which is being deployed on the number of nodes and these nodes randomly moves from one location to another. The MATLAB Simulator has been used in this research paper that helps to solve the complex mathematical equation. Network Simulator (NS2) has used to implement the Network Model.

Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN

2016 ◽  
Vol 7 (1) ◽  
pp. 85-112 ◽  
Author(s):  
S.P. Shiva Prakash ◽  
T.N. Nagabhushan ◽  
Kirill Krinkin
Keyword(s):  
Mesh Networks ◽  
Cluster Head ◽  
High Energy ◽  
Base Station ◽  
Base Stations ◽  
Cluster Head Selection ◽  
Slot Allocation ◽  
Proposed Model ◽  
Slot Scheduling ◽  
Link Duration

Minimization of delay in collecting the data at any base stations is one of the major concerns in cluster based Wireless Mesh Networks. several researches have proposed algorithms to control congestion considering static nature of a node. Mobility of a node results in high congestion due to frequent link breakages and high energy consumption due to re-establishment of route during routing process. Hence, the authors consider dynamic nodes with single hop inside the static cluster. The proposed model includes four modules namely, Cluster head selection, slot allocation, slot scheduling and data collection process. the cluster head selection is based on the maximum energy, number of links and link duration. Slot allocation is based on the available energy () and the required energy (). Slot scheduling is carried out based on the link duration. Data at the base station will be collected as they are scheduled. Model is tested using Network Simulator-3 (NS3) and results indicate that the proposed model achieves least delay besides reducing the congestion compared to the existing methods.

scholarly journals Robust Beamforming Design for SWIPT-Based Multi-Radio Wireless Mesh Network with Cooperative Jamming

Information ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 138
Author(s):  
Liang Li ◽  
Xiongwen Zhao ◽  
Suiyan Geng ◽  
Yu Zhang ◽  
Lei Zhang
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Mesh Network ◽  
Channel State ◽  
Sdp Relaxation ◽  
Cooperative Jamming ◽  
Total Transmission ◽  
Channel Estimate ◽  
Wireless Mesh ◽  
The Individual

Wireless mesh networks (WMNs) can provide flexible wireless connections in a smart city, internet of things (IoT), and device-to-device (D2D) communications. The performance of WMNs can be greatly enhanced by adopting a multi-radio technique, which enables a node to communicate with more nodes simultaneously. However, multi-radio WMNs face two main challenges, namely, energy consumption and physical layer secrecy. In this paper, both simultaneous wireless information and power transfer (SWIPT) and cooperative jamming technologies were adopted to overcome these two problems. We designed the SWIPT and cooperative jamming scheme, minimizing the total transmission power by properly selecting beamforming vectors of the WMN nodes and jammer to satisfy the individual signal-to-interference-plus-noise ratio (SINR) and energy harvesting (EH) constrains. Especially, we considered the channel estimate error caused by the imperfect channel state information. The SINR of eavesdropper (Eve) was suppressed to protect the secrecy of WMN nodes. Due to the fractional form, the problem was proved to be non-convex. We developed a tractable algorithm by transforming it into a convex one, utilizing semi-definite programming (SDP) relaxation and S-procedure methods. The simulation results validated the effectiveness of the proposed algorithm compared with the non-robust design.

Enhanced Service Discovery Model for Wireless Mesh Networks

2018 ◽  
Vol 22 (1) ◽  
pp. 44-53 ◽  
Author(s):  
Lungisani Ndlovu ◽  
◽  
Okuthe P. Kogeda ◽  
Manoj Lall
Keyword(s):  
Wireless Mesh Networks ◽  
Service Discovery ◽  
Mesh Networks ◽  
Service Selection ◽  
Cost Effective ◽  
Ant Colony ◽  
Area Network ◽  
Wireless Mesh ◽  
Proposed Model ◽  
Link Congestion

Wireless mesh networks (WMNs) are the only cost-effective networks that support seamless connectivity, wide area network (WAN) coverage, and mobility features. However, the rapid increase in the number of users on these networks has brought an upsurge in competition for available resources and services. Consequently, factors such as link congestion, data collisions, link interferences, etc. are likely to occur during service discovery on these networks. This further degrades their quality of service (QoS). Therefore, the quick and timely discovery of these services becomes an essential parameter in optimizing the performance of service discovery on WMNs. In this paper, we present the design and implementation of an enhanced service discovery model that solves the performance bottleneck incurred by service discovery on WMNs. The proposed model integrates the particle swarm optimization (PSO) and ant colony optimization (ACO) algorithms to improve QoS. We use the PSO algorithm to assign different priorities to services on the network. On the other hand, we use the ACO algorithm to effectively establish the most cost-effective path whenever each transmitter has to be searched to identify whether it possesses the requested service(s). Furthermore, we design and implement the link congestion reduction (LCR) algorithm to define the number of service receivers to be granted access to services simultaneously. We simulate, test, and evaluate the proposed model in Network Simulator 2 (NS2), against ant colony-based multi constraints, QoS-aware service selection (QSS), and FLEXIble Mesh Service Discovery (FLEXI-MSD) models. The results show an average service discovery throughput of 80%, service availability of 96%, service discovery delay of 1.8 s, and success probability of service selection of 89%.

An Adaptive TDMA Slot Assignment Algorithm for Scalable Wireless Mesh Networks

2013 ◽  
Vol 392 ◽  
pp. 872-875 ◽  
Author(s):  
Gu Jia ◽  
Yu Wen Wang ◽  
Fan Ji Meng ◽  
Guo Hua Ye ◽  
Guo Lin Wang
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Mac Protocol ◽  
Cluster Head ◽  
Mesh Network ◽  
Frame Structure ◽  
Media Access Control ◽  
Media Access ◽  
Slot Allocation ◽  
Wireless Mesh

The media access control (MAC) protocol based on fixed slot allocation has low throughput and high delay in high load wireless mesh network. In order to improve the performance of wireless mesh network, we propose a scalable adaptive time division multiple access (TDMA) slot allocation algorithm based on the existing fixed TDMA. The algorithm uses the network structure of clustering and builds a more optimized frame structure, cluster head dynamically allocates time slot according to the packet number of the cluster member sent and the priority level, at the same time taking into account the situation of nodes joining and leaving to improve the scalability of the network The simulation results on OPNET network simulation platform show that the algorithm is superior to fixed TDMA algorithm in both throughput and delay.

scholarly journals Adaptive Allocation Algorithm for Multi-Radio Multi-Channel Wireless Mesh Networks

2020 ◽  
Vol 12 (8) ◽  
pp. 127
Author(s):  
Walaa Hassan ◽  
Tamer Farag
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Channel Allocation ◽  
Decision Function ◽  
Mesh Network ◽  
Network Simulator ◽  
Allocation Algorithm ◽  
Adaptive Allocation ◽  
Wireless Mesh ◽  
Overall Performance

The wireless mesh network (WMN) has proven to be a great choice for network communication technology. WMNs are composed of access points (APs) that are installed and communicate with each other through multi-hop wireless networks. One or more of these APs acts as a gateway (GW) to the internet. Hosts of WMNs are stationary or mobile. According to the structure of WMNs, some network features may be affected, such as the overall performance, channel interference, and AP connectivity. In this paper, we propose a new adaptive channel allocation algorithm for a multi-radio multi-channel wireless mesh network. The algorithm is aimed to minimize the number of channel reassignments while maximizing the performance under practical constraints. The algorithm defines a decision function for the channel reassignments. The decision function aims to minimize the traffic around the GW. Whenever the traffic changes in the wireless mesh network, the decision function decides which channel radio reassignment should be done. We demonstrated the effectiveness of our algorithm through extensive simulations using Network Simulator 2 (NS-2).

Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN

2020 ◽  
pp. 164-193
Author(s):  
S.P. Shiva Prakash ◽  
T.N. Nagabhushan ◽  
Kirill Krinkin
Keyword(s):  
Mesh Networks ◽  
Cluster Head ◽  
Base Stations ◽  
Cluster Head Selection ◽  
Slot Allocation ◽  
Energy Aware ◽  
Available Energy ◽  
Proposed Model ◽  
Slot Scheduling ◽  
Link Duration

Minimization of delay in collecting the data at any base stations is one of the major concerns in cluster based Wireless Mesh Networks. several researches have proposed algorithms to control congestion considering static nature of a node. Mobility of a node results in high congestion due to frequent link breakages and high energy consumption due to re-establishment of route during routing process. Hence, the authors consider dynamic nodes with single hop inside the static cluster. The proposed model includes four modules namely, Cluster head selection, slot allocation, slot scheduling and data collection process. the cluster head selection is based on the maximum energy, number of links and link duration. Slot allocation is based on the available energy () and the required energy (). Slot scheduling is carried out based on the link duration. Data at the base station will be collected as they are scheduled. Model is tested using Network Simulator-3 (NS3) and results indicate that the proposed model achieves least delay besides reducing the congestion compared to the existing methods.

scholarly journals Smart Routing with Segmental Routing Mechanism for Wireless Mesh Network (WMN)

2019 ◽  
Vol 8 (9S) ◽  
pp. 922-926
Keyword(s):  
Mesh Networks ◽  
Base Stations ◽  
Mesh Network ◽  
Local Domain ◽  
Query Process ◽  
Wireless Mesh ◽  
Proposed Model ◽  
Routing Mechanism ◽  
Node Availability ◽  
The Given

The wireless mesh networks (WMN) are the growing mediums of connectivity for the purpose of internet or intranet connectivity. The routing among the WMN becomes a challenging task with the rise in the number of nodes across the network and the larger data volumes. In this paper, the work has been carried out on the growing WMNs with the dynamic number of nodes. The node availability aware neighbor formation and status tracking mechanism has been applied in this scheme in order to keep the network updated about the working nodes and to eliminate the non-functional nodes from the connected mesh network. The neighbor query process is utilized for the path building towards the base stations (BTS) or Sink node in the given WMN networks. Additionally; the routing information is collected from all of the neighboring nodes towards the destination paths using the desired mechanism for the path discovery under the segmental routing mechanism for WMN, which has been created with the capability of handling the network path failures dynamically in the local domain of the given network zone. The performance of the proposed model has been analyzed in the form of energy consumption, end-to-end delay and detailed energy & packet based analysis

Simulation of Multihop Wireless Networks in OMNeT++

2012 ◽  
pp. 140-157 ◽  
Author(s):  
Alfonso Ariza ◽  
Alicia Triviño
Keyword(s):  
Wireless Networks ◽  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Source Code ◽  
Multihop Wireless Networks ◽  
Network Simulator ◽  
Multihop Wireless ◽  
Wireless Mesh ◽  
Main Emphasis

In this chapter, the authors present a brief description of the OMNeT++ network simulator with the main emphasis on the InetManet framework. This framework is especially oriented to the simulation of MANET and wireless mesh networks. It offers all the basic models and tools necessary to begin the simulation of this type of network. Since the source code is offered, the researcher can modify and include their models and they can simulate their own protocols. The InetManet is specifically oriented to the simulation of MANET over IPv4 networks. The flexibility of the code and the oriented based model of OMNeT++ (and its frameworks) allow reusing the wireless model with other types of networks.

scholarly journals Performance of Dynamic Priority Based Interference Aware Channel Allocation in Wireless Mesh Networks for Energy Conservation

2019 ◽  
Vol 9 (1) ◽  
pp. 5331-5335
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Average Energy ◽  
Residual Energy ◽  
Packet Transmission ◽  
Mesh Network ◽  
Network Simulator ◽  
Bandwidth Reservation ◽  
Wireless Mesh ◽  
Dynamic Scenario

The Dynamic Wireless Mesh Network (DWMN) infrastructure is a pair or multiple dynamic nodes with networking capability to communicate with one another utilising Sink Nodes (SN). Due to its mobile nature, it is termed as Dynamic in nature. SN traverses over the predefined path over the Wireless Mesh Network. As the nodes engage into mobility, the neighbourhood table should be updated at a minimum rate of once every five seconds. The alarming fact in WMN is, Energy to transmit a bit is equivalent to computing hundreds of instructions at that instant. Hence there is a need to concentrate on energy dimension of DWMN. A node loses certain amount of energy while transmitting and receiving the packet, hence there is a minor decline in the initial energy of the node. The existing value of energy at a moment after transmitting and receiving the packet is coined as Residual Energy. The energy consumed by the node for transmitting and receiving the packet over the particular time frame is coined as Average Energy. Network Simulator v.2 tool has been utilised to simulate network creation with multiple mobile nodes for packet transmission or reception and packet drop conditions due to interference. Bandwidth Reservation (BR) for energy analysis is done by both Priority Based Interference Aware Bandwidth Reservation (PBIABR) and Interference Aware Bandwidth Reservation (IABR) for many flowing rates under dynamic scenario. Channel Priority plays a vital role to opt the channel which posses less interference for efficient bandwidth reservation for PBIABR. The opted channel will have the minimal channel interference effect. IABR posses the controllability character for data flow to establish end-to-end communication over Multi-Radio Multi-Channel (MRMC) - Wireless Mesh Network. This research paper focuses on deep analysis of Residual Energy (joule) compared with Interval (sec) and Average Energy (joule) compared with Interval (sec) under dynamic scenario for multiple flow rates by implementing PBIABR and IABR criteria.

scholarly journals A dynamic update of the HWMP proactive tree for IEEE 802.11s based wireless mesh networks

2013 ◽  
Vol 9 (4) ◽  
pp. 205
Author(s):  
Mohamed Guesmia ◽  
Mustapha Guezouri ◽  
Nader Mbarek
Keyword(s):  
Mesh Networks ◽  
Network Simulator ◽  
Traffic Flows ◽  
Ieee 802.11S ◽  
Dynamic Update ◽  
Wireless Mesh ◽  
Routing Table ◽  
Wireless Environment ◽  
Periodic Transmission ◽  
Interval Value

In this paper we propose a dynamic update of the HWMP (Hybrid Wireless Mesh Protocol) proactive tree by changing dynamically the path request (PREQ) transmission interval, instead of a periodic fixed value as defined in the IEEE 802.11s draft. Indeed, we adapt dynamically the value of the PREQ transmission interval according to the wireless environment characteristics and to the amount of traffic flows generated by applications within the considered environment. Thereby, we expect improving the routing table accuracy and minimizing the path recovery delays with less overhead for critical applications. Simulations results using Network Simulator 3 (NS-3) show that our proposed dynamic and non periodic PREQ transmission interval gives better results than a fixed periodic transmission interval value.

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