Energy Aware Topology Management in Ad Hoc Wireless Networks

Prakash, T Shiv; Badrinath, G. S.; Venugopal, K. R.; Patnaik, L. M.

doi:10.1007/11947950_23

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…It needs to be focused on convergence of video quality. Prakash et al, [74] proposed Residual Energy Adaptive Re-Routing (REAR) method with a Mixed Integer Linear Programming (MILP) model for increasing the network lifetime. This approach supports multi-commodity flow where multiple sources to sinks network requests involves splitting and re-routing over multiple paths.…”

Section: Energy Efficient Multipathmentioning

confidence: 99%

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

Manjula¹,

Venugopal²,

Gudihatti³

2019

IJCA

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The explosive growth of mobile devices and the rapid increase in wireless services necessitate an improvement in communication techniques. This technology can boost spectrum utilization as well as meet the massive connectivity requirement to draw attention from academia and industry. Cognitive Radio Network (CRN) is an evident optimal solution in alleviating the challenges of spectrum unused potentially in wireless networks. The Secondary Users are allowed intelligently to access the sections of spectrum unused (spectrum holes) by the authorized Primary Users (PUs). The objective of this paper is to analyze channel throughput, delay, carrier aggregations, energy efficiency, and security challenges and provide research ideas to enhance the overall performance of the CRN. This review paper completely investigated the potential management of spectrum techniques, essentially in spectrum sensing, spectrum allocation, spectrum sharing, and spectrum handoff in CRN. In addition, we study the energy efficient routing techniques like network optimization frameworks in cooperative networks, protocols and different types of attack issues, approaches for handling the secure communication in CRNs. The state of art review, which deeply examines the Cognitive Radio Network providing an idea of important technology and challenges are addressed. The open research challenges related to spectrum management, energy efficient routing and security are discussed.

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Section: Energy Efficient Multipathmentioning

confidence: 99%

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

Manjula¹,

Venugopal²,

Gudihatti³

2019

IJCA

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“…Shiva Prakash et.al have proposed an Intelligent Gateway Selection Heuristic which eliminates redundant gateways during Passive Clustering and reduce the number of rebroadcasts and have studied a number of peculiar cases of network topology, which are frequent in a mobile environment [7], [8]. Shiva Prakash et.al have proposed efficient topology management in [9], [10] and global incremental power models for life maximization have been presented in [11], [12].…”

Section: Introductionmentioning

confidence: 99%

International Conference on Intelligent Sensing and Information Processing, 2004. Proceedings of

2004

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In this paper, we address the problem of energy efficient routing in homogeneous and heterogeneous wireless ad hoc networks aiming at maximize the network lifetime. We define the network lifetime as the number of transmissions the node can perform until the first node fails due to battery exhaustion. In static networks we find a routing (spanning) tree which maximizes the network lifetime without tree update. We have proposed a Global weighted incremental power model and Global weighted post sweep for extending the life time of heterogeneous wireless ad hoc wireless network that gives better performance than the WBIP(Weighted Broadcast Incremental Protocol) implementation. We consider the amount of energy the node has compared to the maximum energy in network as the parameter in the cost metric function for constructing a efficient routing tree.

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Energy Aware Topology Management in Ad Hoc Wireless Networks

Cited by 2 publications

References 8 publications

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

International Conference on Intelligent Sensing and Information Processing, 2004. Proceedings of

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