4,600 research outputs found

    Performance Evaluation Cross Layer Routing Metric in Protocol Routing OLSR Wi-Fi Wireless Mesh Networks

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    Wireless Mesh network is a wireless communications and allows multiple nodes work together to deliver message to the destination. Mesh topology improve the reliability of the entire network. Investment is needed in wireless mesh networks less than the cellular network. Wireless Mesh Network is a technology solution to increase the coverage, reliability and ease of implementation that have the nature of multi-hop, self-reconfigurable, self-healing and self-organized. WMN performance depends on the routing protocol used. Routing metrics used by routing protocols decides which route to use between pair of nodes. Various routing metrics have been developed to increase throughput, load balancing and choose the path that is reliable in Wireless Mesh Network. Some cross-layer routing metrics have been developed to improve network performance. This study aims to improve the throughput received by the network, by evaluating the performance of the simulation results cross layer routing metrics Expected Forwarded Counter (EFW) using routing protocols OLSR at 802.11 Wi-Fi Wireless Mesh Network. EFW is routing based on cross-layer metrics to overcome the problems caused by the drop packet selfish behavior on a mesh router. Simulations carried out by using Network Simulator 2. An optimal routing metric has a potential to improve performance of a wireless mesh network. For better performance Improvement can be done by designing efficient routing metrics that can support adaptive mesh routers and mesh clients. The simulation results were evaluated with a modified routing metric EFW with protocol routing OLSR in Wi-FI Wireless Mesh Network. Routing metric EFW is an improvement of ETX by adding the estimated probability of dropping relaying node. The propose routing metric is a combination of EFW metric with routing metric ETT that consider packet size and bandwidth of the link to improve overall routing performance. From the simulation result , routing metric EFW modification has better performance fo throughput,PDR, Packet loss, and end to end delay than routing metrix etx or routing metric EFW, when the number of nodes used is smaller and using high data rate scenario

    Wireless industrial monitoring and control networks: the journey so far and the road ahead

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    While traditional wired communication technologies have played a crucial role in industrial monitoring and control networks over the past few decades, they are increasingly proving to be inadequate to meet the highly dynamic and stringent demands of today’s industrial applications, primarily due to the very rigid nature of wired infrastructures. Wireless technology, however, through its increased pervasiveness, has the potential to revolutionize the industry, not only by mitigating the problems faced by wired solutions, but also by introducing a completely new class of applications. While present day wireless technologies made some preliminary inroads in the monitoring domain, they still have severe limitations especially when real-time, reliable distributed control operations are concerned. This article provides the reader with an overview of existing wireless technologies commonly used in the monitoring and control industry. It highlights the pros and cons of each technology and assesses the degree to which each technology is able to meet the stringent demands of industrial monitoring and control networks. Additionally, it summarizes mechanisms proposed by academia, especially serving critical applications by addressing the real-time and reliability requirements of industrial process automation. The article also describes certain key research problems from the physical layer communication for sensor networks and the wireless networking perspective that have yet to be addressed to allow the successful use of wireless technologies in industrial monitoring and control networks

    Cross-layer Balanced and Reliable Opportunistic Routing Algorithm for Mobile Ad Hoc Networks

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    For improving the efficiency and the reliability of the opportunistic routing algorithm, in this paper, we propose the cross-layer and reliable opportunistic routing algorithm (CBRT) for Mobile Ad Hoc Networks, which introduces the improved efficiency fuzzy logic and humoral regulation inspired topology control into the opportunistic routing algorithm. In CBRT, the inputs of the fuzzy logic system are the relative variance (rv) of the metrics rather than the values of the metrics, which reduces the number of fuzzy rules dramatically. Moreover, the number of fuzzy rules does not increase when the number of inputs increases. For reducing the control cost, in CBRT, the node degree in the candidate relays set is a range rather than a constant number. The nodes are divided into different categories based on their node degree in the candidate relays set. The nodes adjust their transmission range based on which categories that they belong to. Additionally, for investigating the effection of the node mobility on routing performance, we propose a link lifetime prediction algorithm which takes both the moving speed and moving direction into account. In CBRT, the source node determines the relaying priorities of the relaying nodes based on their utilities. The relaying node which the utility is large will have high priority to relay the data packet. By these innovations, the network performance in CBRT is much better than that in ExOR, however, the computation complexity is not increased in CBRT.Comment: 14 pages, 17 figures, 31 formulas, IEEE Sensors Journal, 201

    RECOMAC: a cross-layer cooperative network protocol for wireless ad hoc networks

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    A novel decentralized cross-layer multi-hop cooperative protocol, namely, Routing Enabled Cooperative Medium Access Control (RECOMAC) is proposed for wireless ad hoc networks. The protocol architecture makes use of cooperative forwarding methods, in which coded packets are forwarded via opportunistically formed cooperative sets within a region, as RECOMAC spans the physical, medium access control (MAC) and routing layers. Randomized coding is exploited at the physical layer to realize cooperative transmissions, and cooperative forwarding is implemented for routing functionality, which is submerged into the MAC layer, while the overhead for MAC and route set up is minimized. RECOMAC is shown to provide dramatic performance improvements of eight times higher throughput and one tenth of end-to-end delay than that of the conventional architecture in practical wireless mesh networks

    Security and Privacy Issues in Wireless Mesh Networks: A Survey

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    This book chapter identifies various security threats in wireless mesh network (WMN). Keeping in mind the critical requirement of security and user privacy in WMNs, this chapter provides a comprehensive overview of various possible attacks on different layers of the communication protocol stack for WMNs and their corresponding defense mechanisms. First, it identifies the security vulnerabilities in the physical, link, network, transport, application layers. Furthermore, various possible attacks on the key management protocols, user authentication and access control protocols, and user privacy preservation protocols are presented. After enumerating various possible attacks, the chapter provides a detailed discussion on various existing security mechanisms and protocols to defend against and wherever possible prevent the possible attacks. Comparative analyses are also presented on the security schemes with regards to the cryptographic schemes used, key management strategies deployed, use of any trusted third party, computation and communication overhead involved etc. The chapter then presents a brief discussion on various trust management approaches for WMNs since trust and reputation-based schemes are increasingly becoming popular for enforcing security in wireless networks. A number of open problems in security and privacy issues for WMNs are subsequently discussed before the chapter is finally concluded.Comment: 62 pages, 12 figures, 6 tables. This chapter is an extension of the author's previous submission in arXiv submission: arXiv:1102.1226. There are some text overlaps with the previous submissio
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