An efficient on-demand routing approach with directional flooding for wireless mesh networks

Kum, Dong-Won; Ngoc, Le Anh; Cho, You-Ze; Toh, Chai Keong; Lee, In-Soo

doi:10.1109/jcn.2010.6388435

Cited by 26 publications

(8 citation statements)

References 9 publications

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“…Fig. 5 shows that the average route overhead may be greater than 1 [17], [18], since we care for the number of control and data packets rather than the size of control and data packets. Compared with data packets, the sizes of control packets are smaller.…”

Section: B Simulation Results and Analysis On Grid Topology Networkmentioning

confidence: 99%

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Routing Metric of Expected Delay in Multi-Radio Multi-Channel Wireless Mesh Networks

Shi¹,

Shang²,

Zheng³

et al. 2014

JCM

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Many routing metrics have been proposed to improve the performance of wireless mesh networks (WMNs). Most of these routing metrics describe intra-flow and inter-flow interference respectively, which brings in adjustable parameters or results in non-isotonicity. However, the adjustable parameters, used to balance the intra-flow and inter-flow interference, are difficult to adapt to the network status, and non-isotonicity makes the design of routing metric complicated. In this paper, we propose an isotonic metric of expected delay (MED) in multi-radio multi-channel (MRMC) WMNs. In particular, MED uses the expected available bandwidth (EAB), which can capture the logical intra-flow and inter-flow interference uniformly, to estimate the delay of the path. In MED, both expected packet transmission delay and expected queuing delay are estimated to capture physical interference, logical interference, load and noise comprehensively. Simulation results show that the proposed metric can improve overall network performance effectively. Index Terms-Wireless mesh networks, routing metric, load, interference, delay I. INTRODUCTION Wireless mesh networks (WMNs) are self-organizing, self-configuring, low-cost networks. WMNs are widely used in different scenarios, such as urban area networks, emergency communication networks, security networks and so on [1]. Since single-radio single-channel WMNs cannot satisfy the increasing demands for the traffic that is growing every day, multi-radio multi-channel (MRMC) WMNs are developed [2]. MRMC WMNs provide each node with multi-radio interfaces, which can improve the capacity of the networks and enhance overall network performance. Due to the limited spectrum resources, interference and congestion have great impact on network performance, so it is important to select a proper path according to the network status. Routing metric is the core of routing protocols, which provides quantifiable values to judge the efficiency of the route [3]. Thus design of routing metrics plays a crucial role for finding efficient routes in the network. In recent years, many researchers focus on studying routing metrics to improve overall network performance of Manuscript

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Section: B Simulation Results and Analysis On Grid Topology Networkmentioning

confidence: 99%

“…Average route overhead: it indicates the ratio between the total number of routing control packets by all sources and the total number of successfully received data packets by the destinations [17], [18].…”

Section: A Performance Evaluation Criteriamentioning

confidence: 99%

Routing Metric of Expected Delay in Multi-Radio Multi-Channel Wireless Mesh Networks

Shi¹,

Shang²,

Zheng³

et al. 2014

JCM

View full text Add to dashboard Cite

show abstract

“…In addition to ETX, available bandwidth and channel diversity are considered in [25] . With larger retransmission times, the energy consumption will be higher [36] . Besides ETT [27] , considers load condition and interference.…”

Section: Routing Designmentioning

confidence: 99%

The development of green wireless mesh network: A survey

Chai¹,

Zeng²

2021

JSEGC

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Wireless mesh network (WMN) is a type of self-healing, self-configuration, and peer-to-peer wireless network. Without expensive and fixed base stations, WMN can be established fast, easily, and flexibly at a low cost. The convenience and flexibility of establishing WMN brings a wide range of applications. The request of high bandwidth, high coverage and high transmission rate can be satisfied. Current research on WMN involves routing, resource allocation, mobility control, security and so on. With the increasing concern of green communication, improving energy efficiency is more and more important nowadays. As energy harvesting can overcome energy constraints and extend the network lifetime, it has attracted the great attention from many researchers when designing network. Further, WMN is an important networking mode in next-generation communication to guarantee the quality of service and reduce the networking complexity. Due to such importance, a survey of the research and development in WMN including the future research direction and opportunities is given in this paper.

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“…Therefore, network lifetime depends on each node's residual battery level. Due to the limitations of ad hoc networks mentioned beforehand, energy-conserving scheme is a very important issue [4].…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Plus RSSI Based Routing Protocol for Bluetooth Low Energy Ad Hoc Networks

Jung¹,

Han²

2017

Wireless Communications and Mobile Computing

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This paper proposes a novel energy-conserving multihop routing protocol to maximize network lifetime and consume the battery in a distributed manner during route discovery in energy-constrained Bluetooth Low Energy ad hoc networks. Furthermore, a flooding avoidance approach is adopted by the proposed scheme to minimize the number of route request packets flooded. In addition, the proposed scheme maximizes network lifetime by using residual battery and RSSI as a route metric. The simulation results confirm that our proposed scheme has a surpassing performance with regard to network lifetime, evenly distributed battery consumption, and route discovery latency compared with the traditional on-demand routing protocol.

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An efficient on-demand routing approach with directional flooding for wireless mesh networks

Cited by 26 publications

References 9 publications

Routing Metric of Expected Delay in Multi-Radio Multi-Channel Wireless Mesh Networks

Routing Metric of Expected Delay in Multi-Radio Multi-Channel Wireless Mesh Networks

The development of green wireless mesh network: A survey

Maximum Power Plus RSSI Based Routing Protocol for Bluetooth Low Energy Ad Hoc Networks

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