A flat routing protocol for sensor networks

Kanavalli, Anita; Sserubiri, Dennis; Shenoy, P. Deepa; Venugopal, K. R.; Patnaik, L. M.

doi:10.1109/icm2cs.2009.5397948

Cited by 25 publications

(11 citation statements)

References 10 publications

(9 reference statements)

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“…Kanavalli et al, [78] studied a flat routing protocol, which is used in wireless sensor networks. This approach allows route finding process and total messages in a network.…”

Section: Fig 8 Cr Multi-hop Networkmentioning

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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“…Kanavalli et al, [78] studied a flat routing protocol, which is used in wireless sensor networks. This approach allows route finding process and total messages in a network.…”

Section: Fig 8 Cr Multi-hop Networkmentioning

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 mathematical expressions are derived in [12] for sensor node energy consumption for transmission, and receive packets in WSNs. A number of energy efficient routing protocols have been designed for WSNs [13] [14] [15] [16]. A hierarchical, gradient and cluster based routing protocols was proposed in [17] and [18] that are suitable for handling mobility of the sensor devices and the sink station.…”

Section: Related Workmentioning

confidence: 99%

LR3: Link Reliable Reactive Routing Protocol for Wireless Sensor Networks

S.R¹,

S.²,

M.³

2017

IJCA

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Existing reliable-oriented routing protocols computes link reliability based on the packet reception ratio and neglects impact of various parameters such as noise, shadowing, battery-lifespan, uncertainty and geographic locations. In this paper, we propose a Link Reliable Reactive Routing (LR 3 ) protocol for WSNs to accomplish reliable and resilience to out-of-order transmission and path diversity at each hop. The log-normal shadowing model is used to estimate link reliability and a back-off scheme is used to determine delay. A new cost estimated to find forwarding nodes on mentor path that includes link reliability, delay, status of queue at forwarding node and packet advancement at the forwarding node. LR 3 is simulated using NS-2 and results show that it outperforms other reactive routing protocols in terms of packet delivery ratio, latency, link reliability and data transmission cost [1] [2].

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“…The distances between the nodes are assumed uniform in both ways vertically or horizontally and diagonally in a flat protocol [9]. But the distance between the nodes cannot be equal in most of the applications e.g.…”

Section: A Highly Adaptive Distributed Routing Algorithm For Mobile Wmentioning

confidence: 99%

Multi-hop Network Structure Routing Protocols

Rani¹,

Ahmed

2015

SpringerBriefs in Electrical and Computer Engineering

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With other quality of service metrics, scalability and delay metrics are major design attributes for WSN routing protocols. A single level routing can increase the load on gateway nodes which can cause latency and reliability issues. But multilevel routing can overcome this by reducing communication distance among nodes. Distance can be calculated among the nodes via location based routing. But energy aware routing is are beneficial in WSN. With distance calculation, end -to-end delay attribute is considered as important attribute of WSN. This delay is considered in QoS metrics aware protocols. In this chapter, classification of multi hop network structure protocols is done in three categories (i) hierarchical routing protocols (ii) flat routing protocols and location based routing protocols. We have thrown light on the different parameters of comparative routing protocols with research insights.

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A flat routing protocol for sensor networks

Cited by 25 publications

References 10 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

LR3: Link Reliable Reactive Routing Protocol for Wireless Sensor Networks

Multi-hop Network Structure Routing Protocols

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