A Two-Tier Heterogeneous Mobile Ad Hoc Network Architecture and Its Load-Balance Routing Problem

Huang, Chi-Fu; Lee, Hung-Wei; Tseng, Yu–Chee

doi:10.1023/b:mone.0000031605.84447.1d

Cited by 59 publications

(37 citation statements)

References 19 publications

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“…Furthermore, route flapping [29] is a common issue. Most solutions in this category model a gateway's load using different gateway parameters, such as total traffic [30], residual capacity [31]- [33], number of active flows [17], average queue length [34], and number of registered mobile nodes [35].…”

Section: B Gateway Load Balancingmentioning

confidence: 99%

A Unified Solution for Gateway and In-Network Traffic Load Balancing in Multihop Data Collection Scenarios

Miao

Vural

Sun

et al. 2016

IEEE Systems Journal

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Abstract-Data collection is a fundamental task of wireless sensor networks to support a variety of applications, such as remote monitoring, and emergency response, where collected information is relayed to an infrastructure network via packet gateways for processing and decision making. In large-scale monitoring scenarios, data packets need to be relayed over multihop paths to the gateways, and sensors are often randomly deployed, causing local node density differences. As a result, imbalance in data traffic load on the gateways is likely to occur. Furthermore, due to dynamic network conditions and differences in sensor data generation rates, congestion on some data paths is also often experienced. Numerous studies have focused on the problem of in-network traffic load balancing, whereas a few works have aimed at equalizing the loads on gateways. However, there is a potential tradeoff between these two problems. In this paper, the dual objective of gateway and in-network load balancing is addressed, and the reactive and adaptive load-balancing (RALB) algorithm is presented. RALB is proposed as a generic solution for multihop networks and mesh topologies, particularly in large-scale remote monitoring scenarios, to balance traffic loads.

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Section: B Gateway Load Balancingmentioning

confidence: 99%

A Unified Solution for Gateway and In-Network Traffic Load Balancing in Multihop Data Collection Scenarios

Miao

Vural

Sun

et al. 2016

IEEE Systems Journal

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“…In [4] a two layer heterogeneous network has been proposed. It provides the internet access to the lower layer nodes but it does not provide communication between lower layer nodes.…”

Section: Related Workmentioning

confidence: 99%

HAQR: The Hierarchical ANT Based QOS Aware On-Demand Routing for MANETS

Sensarma¹,

Majumder²

2013

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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A Mobile Ad Hoc Network (MANET) is a collection of wireless mobile devices with no pre existing infrastructure or centralized control. Supporting QoS during routing is a very challenging task. Clustering is an effective method for resource management regarding network performance, routing protocol design, QoS etc. In real time various types of nodes with different computing and transmission power, different rolls and different mobility pattern may exist. Hierarchical routing provides routing through this kind of heterogeneous nodes. In this paper, HAQR, a novel ant based QoS aware routing is proposed on a three level hierarchical clusterbased topology in MANET which will be more scalable and efficient compared to flat architecture and will give better throughput.

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“…Most of these can suffer from route flapping or poor performance for not taking contention into account. From proposed algorithms in [10], DA and CA just consider their load and don t take their distance to gateway nodes as well as interference with other flows into account, so perform very poorly. NGW and MLI associate each node to its nearest gateway which can result in gateways that are overloaded while others are under-utilized [10].…”

Section: Introductionmentioning

confidence: 99%

“…From proposed algorithms in [10], DA and CA just consider their load and don t take their distance to gateway nodes as well as interference with other flows into account, so perform very poorly. NGW and MLI associate each node to its nearest gateway which can result in gateways that are overloaded while others are under-utilized [10]. With MLI, every time that there is an imbalance between gateways, border nodes switch to another domain to even the load of the domains so makes high switching overhead.…”

Section: Introductionmentioning

confidence: 99%

A distributed learning automata based gateway load balancing algorithm in Wireless Mesh Networks

Kashanaki

Beheshti

Meybodi

2012

2012 International Symposium on Instrumentation &Amp; Measurement, Sensor Network and Automation (IMSNA)

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Wireless Mesh Networks (WMNs) are a rapidly maturing technology for providing high bandwidth broadband service to a large community of users. In WMNs, gateway nodes act as a central point of connectivity to the wired infrastructure (typically the Internet). Therefore traffic aggregation occurs in the paths leading to a gateway and due to the limited wireless link capacity, these nodes are likely to be potential bottlenecks. In this paper, we propose a distributed load balancing algorithm to achieve load balancing on gateway nodes which leads to efficient traffic allocation as well as maximum use of network capacity. This algorithm uses Learning Automata in order to select the appropriate gateway node to send traffic. Evaluation results demonstrate that the proposed scheme largely avoids congestion and can effectively balance the traffic.

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A Two-Tier Heterogeneous Mobile Ad Hoc Network Architecture and Its Load-Balance Routing Problem

Cited by 59 publications

References 19 publications

A Unified Solution for Gateway and In-Network Traffic Load Balancing in Multihop Data Collection Scenarios

A Unified Solution for Gateway and In-Network Traffic Load Balancing in Multihop Data Collection Scenarios

HAQR: The Hierarchical ANT Based QOS Aware On-Demand Routing for MANETS

A distributed learning automata based gateway load balancing algorithm in Wireless Mesh Networks

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