A Survey of QOS Routing Protocols For Mobile Ad Hoc Network

Santhi, G.; Nachiappan, Alamelu

doi:10.5121/ijcsit.2010.2411

Cited by 15 publications

(4 citation statements)

References 34 publications

(32 reference statements)

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“…When discussing the issue of energy consumption in adhoc wireless networks, topology control is one of the most important energy management techniques that needs to be taken into consideration [16]. Much has already been proposed in this area, with a view to vary the transmission power of nodes -a solution which implies a modification to the nodes' transmission range and neighborhood.…”

Section: Related Workmentioning

confidence: 99%

Flow Aggregation for Energy-Aware Ad-Hoc Wireless Networks Respecting QoS Provisions

Boukrim¹,

Antari²

2020

JTIT

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Emerging communication technologies are now leading developers to design IT systems taking into count their energy-related considerations. Much research performed in the area of ad-hoc wireless networks tends to distribute the ﬂows over all nodes of the network, which increases the amount of energy consumed by each node and reduces longevity of the network. To overcome these problems, this paper seeks to aggregate a set of ﬂows within a number of nodes that is as low as possible in order to be capable of routing those ﬂows. This proposal allows to maximize the number of network nodes that may be turned oﬀ. The proposed solution was formulated as an integer linear programming (ILP) problem using a set of energy and quality of service (QoS) constraints. This formulation minimizes the total energy consumed by the nodes to construct a topology network that is capable of meeting QoS requirement for a set ﬂows inserted into the network. To evaluate the eﬃciency of the proposed model, a performance-based comparison was conducted with another routing model. The simulation results show that the proposed model oﬀers better performance in terms of global energy consumption and network load

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Section: Related Workmentioning

confidence: 99%

Flow Aggregation for Energy-Aware Ad-Hoc Wireless Networks Respecting QoS Provisions

Boukrim¹,

Antari²

2020

JTIT

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“…For best use of bandwidth any routing protocol should transmit minimum control message for need for transmission operation. Therefore, protocols should be aware about threshold value of control message and should be comparatively low further this leads to conserve battery power [34], [35]. E 2 S-AODV protocol shows better end-to-end delay results as compare to traditional one which leads to a theory of minimum control message generation and transfer over MANET; therefore minimum control overhead is achieved.…”

Section: Minimum Control Overheadmentioning

confidence: 99%

“…Routing protocol should integrate with some quality services which further leads to usefulness of network. The ultimate purpose of providing QoS is to attain a more expected behavior of network, thus information is transmitted correctly by the network and also the resources are utilized in a better manner [35]. QoS is different from shortest path selection because shortest path may reach to the target earlier but might be using more resources; Whereas, QoS metric may not be the shortest path but it can be the most reasonable path with minimum consumption of network resources (bandwidth, power).…”

Section: Quality Of Service (Qos) Supportmentioning

confidence: 99%

E2S-AODV: An Energy Efficient Multipronged Reliable Strategy ensuring Secure and Scalable QoS over Disaster Response Applications

Singh¹

2020

IJATCSE

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Mobile Ad-hoc Network is a group of wireless mobile nodes without fixed infrastructure and each node can work as both a router and host. Devices can move randomly and set-up a network that is free from central infrastructure with mobility in nature. Network issues are solved by various routing protocols. Many "Quality of Services (QoS)" must be considered in constructing routing protocol. AODV based on-demand routing is most widely used protocol in MANET. In on-demand based routing routes breaks due to the node mobility and less battery power. Recent work on MANET protocols have focused on achieving these characteristics which suit one specific networking scenario. There is no existing specific protocol that can work well in all multipronged networking parameters. This paper proposed a protocol E 2 S-AODV that will reduce path breakage due to battery drains. Further reliability, scalability, secured route with QoS, minimum control overhead and energy consumption will be simulated.

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“…This approach has reduced the overhead significantly. G. Santhi and Alamelu Nachiappan, [16] have made an attempt to analyze quality of service routing metrics, resources and factors affecting performance of Quality of service routing protocol. Zhiming Xu, Yu Wang and Jingguo Zhu [14] have proposed an algorithm for security, recovery of the lost packets , acknowledgement of the packet and packet delivery considering the bandwidth, jitter, power, throughput.…”

Section: Related Workmentioning

confidence: 99%

Node connectivity, Energy and Bandwidth Aware Clustering Routing Algorithm for real-time traffic multicasting in MANET

Kulkarni

Yuvaraju

2015

2015 IEEE International Advance Computing Conference (IACC)

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Mobile ad hoc network (MANET) is a decentralized communication network. . In MANET during real time traffic multicasting, there is increased energy consumption and delay. In order to overcome this issue we propose to design Node connectivity, Energy and Bandwidth Aware Clustering Routing Algorithm. An efficient ENB cluster head selection algorithm [1] based on the combination of important matrices Residual Energy (E), Node connectivity (C) and Available Bandwidth (B) is considered for election of the cluster head efficiently. The multimedia stream splits into multiple substreams prior to transmission using Top-N rule selection approach algorithm [2]. Shortest path multicast tree construction algorithm [3] to transmit the real time traffic effectively among the nodes in MANETS.Using the cluster head as group leaders and cluster members as leaf nodes, a shortest path multicast tree is established. With the help of constructed shortest path multicast tree we are proposing Node connectivity, Energy and Bandwidth Aware Clustering Routing Algorithm.

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A Survey of QOS Routing Protocols For Mobile Ad Hoc Network

Abstract: ABSTRACT

Cited by 15 publications

References 34 publications

Flow Aggregation for Energy-Aware Ad-Hoc Wireless Networks Respecting QoS Provisions

Flow Aggregation for Energy-Aware Ad-Hoc Wireless Networks Respecting QoS Provisions

E2S-AODV: An Energy Efficient Multipronged Reliable Strategy ensuring Secure and Scalable QoS over Disaster Response Applications

Node connectivity, Energy and Bandwidth Aware Clustering Routing Algorithm for real-time traffic multicasting in MANET

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