Figure 4 - uploaded by Sanggon Lee
Content may be subject to copyright.
Source publication
Many commercial wireless mesh network (WMN) products are available in the marketplace with their own proprietary standards, but interoperability among the different vendors is not possible. Open source communities have their own WMN implementation in accordance with the IEEE 802.11s draft standard, Linux open80211s project and FreeBSD WMN implement...
Contexts in source publication
Context 1
... Test 2: two mobile stations running non-FreeBSD OS were connected to the same backhaul WMN at each end through the same channel, as shown in Figure 4. ...
Context 2
... Test 3: similar to test 2 but it will be using two non-overlapping channels instead of the same channel for the backhaul and the station connection as shown in Figure 4. All of these tests were performed in an outdoor environment with interference coming from APs and stations within the test range. ...
Citations
... Wireless mesh networks (WMNs) are able to wirelessly cover a large area with low deployment and maintenance costs. Particularly, when combining with multi-radio (MR) technology, the capacity of WMNs is significantly improved [1][2][3]. Due to such a feature, WMNs are suitable for both providing ubiquitous connection to the internet and carrying data generated by multiple services, such as internet of things (IoT), smart grids, vehicle-to-vehicle (V2V), etc. [4][5][6], where mesh nodes need to be deployed without fixed power connections. In this case, most of the mesh nodes are supplied by the batteries, which have limited operation time and need to be replaced or recharged frequently. ...
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.
... By increasing the dimensions of the radio interfaces and channels of a node, the multi-radio multi-channel (MR-MC) technique can significantly improve the capacity of wireless mesh networks (WMNs) [1][2][3][4][5]. MR-MC WMNs constitute an attractive complementary or even standalone solution for vehicle-to-vehicle (V2V), device-to-device (D2D), and unmanned aerial vehicle (UAV) communications to provide access to rural areas with little wired infrastructure or to enhance connectivity in highly dense metropolitan areas [6][7][8][9][10][11]. ...
Wireless mesh networks (WMNs) can provide flexible wireless connections in smart city, Internet of Things (IoT), and device-to-device (D2D) communications. The performance of WMNs can be greatly enhanced by adopting the multi-radio multi-channel (MR-MC) technique, which enables a node to communicate with more nodes simultaneously. However, increasing the number of data flows will result in network congestion and longer end-to-end delays. In this paper, a distributed rate-control and delay-aware (DRDA) scheduling algorithm is proposed based on a multidimensional conflict graph. To satisfy the arrival rate and delay constraints of a flow, two virtual queues are constructed. All the actual and virtual queues are stabilized by the Lyapunov drift optimization method. The scheduling policy of each flow is optimized only based on the local information. The simulation results show that our proposed algorithm can maintain the stability of all the queues and strictly satisfy the arrival rate and delay constraint of each flow in the network as well.
... However, we do not use flooding mechanism in our protocol. Some improvements of network performance by multiple radios and channels are given in [20,535455. The authors suggest a fully distributed channel assignment algorithm for dynamic traffic adoption. ...
The networking infrastructure of wireless mesh networks (WMNs) is decentralized and relatively simple, but they can display reliable functioning performance while having good redundancy. WMNs provide Internet access for fixed and mobile wireless devices. Both in urban and rural areas they provide users with high-bandwidth networks over a specific coverage area. The main problems affecting these networks are changes in network topology and link quality. In order to provide regular functioning, the routing protocol has the main influence in WMN implementations. In this paper we suggest a new routing protocol for WMN, based on good results of a proactive and reactive routing protocol, and for that reason it can be classified as a hybrid routing protocol. The proposed solution should avoid flooding and creating the new routing metric. We suggest the use of artificial logic-i.e., neural networks (NNs). This protocol is based on mobile agent technologies controlled by a Hopfield neural network. In addition to this, our new routing metric is based on multicriteria optimization in order to minimize delay and blocking probability (rejected packets or their retransmission). The routing protocol observes real network parameters and real network environments. As a result of artificial logic intelligence, the proposed routing protocol should maximize usage of network resources and optimize network performance.
... The main drawback of the system is related with the decrease of the performance of the network when multiple hops are needed. Therefore, it will be necessary to research about other routing protocols [11] [12] or multi-channel considerations [13]. ...
Structural Health Monitoring (SHM) requires integrated "all in one" electronic devices capable of performing analysis of structural integrity and on-board damage detection in aircraft's structures. PAMELA III (Phased Array Monitoring for Enhanced Life Assessment, version III) SHM embedded system is an example of this device type. This equipment is capable of generating excitation signals to be applied to an array of integrated piezoelectric Phased Array (PhA) transducers stuck to aircraft structure, acquiring the response signals, and carrying out the advanced signal processing to obtain SHM maps. PAMELA III is connected with a host computer in order to receive the configuration parameters and sending the obtained SHM maps, alarms and so on. This host can communicate with PAMELA III through an Ethernet interface. To avoid the use of wires where necessary, it is possible to add Wi-Fi capabilities to PAMELA III, connecting a Wi-Fi node working as a bridge, and to establish a wireless communication between PAMELA III and the host. However, in a real aircraft scenario, several PAMELA III devices must work together inside closed structures. In this situation, it is not possible for all PAMELA III devices to establish a wireless communication directly with the host, due to the signal attenuation caused by the different obstacles of the aircraft structure. To provide communication among all PAMELA III devices and the host, a wireless mesh network (WMN) system has been implemented inside a closed aluminum wingbox. In a WMN, as long as a node is connected to at least one other node, it will have full connectivity to the entire network because each mesh node forwards packets to other nodes in the network as required. Mesh protocols automatically determine the best route through the network and can dynamically reconfigure the network if a link drops out. The advantages and disadvantages on the use of a wireless mesh network system inside closed aerospace structures are discussed.
Mesh connectivity is part of the 802.11 wireless standards, and many commercial and community wireless networks use meshing as part of their internetwork backhaul. Typically, these networks use L2 or L3 meshing mechanisms to route user traffic along a unique path out of the mesh. Their designs are driven by coverage and wireless capacity concerns, with wired backhaul links assumed to be high capacity. In this work we consider networks in which the wireless mesh links have comparable data-rates to the wired backhaul and ask how users can achieve high data-rates in practice. For these networks, we develop an opportunistic backhaul aggregation technique based on MPTCP and demonstrate it on Linux gateways.
