A Flexible and Cost-Effective Heterogeneous Network Deployment Scheme for Beyond 4G

Arthi, M.; Arulmozhivarman, P.

doi:10.1007/s13369-016-2211-6

Cited by 21 publications

(16 citation statements)

References 28 publications

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“…The environmental conditions like rain and storms that affect the signal strength can be tackled effectually by using FL systems. [30][31][32][33][34][35] Thus, FL is widely used to implement WSSN clustering protocols. Mohammad and Ali use FCM and artificial bee colony (ABC) algorithms along with Sugeno FL system to improve the CL selection process for better energy efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

Rajput

Kumaravelu

2019

Int J Communication

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Wireless smart sensor networks (WSSNs) are emerging as the physical backbone of the internet of things (IoT) technology. On the basis of the IoT platform, web-based systems and services are been developing such as esurveillance, industrial-IoT, and precision agriculture. For farmland monitoring systems, WSSNs need to be scalable in terms of coverage area. Sensor nodes are energy-constrained devices, and hence, many energy-efficient clustering protocols are developed in the literature. But these methods overload the cluster leaders (CLs) with cluster computation and data communication costs. An improper CL selection may lead to the early death of such nodes and hence does not prolong the network lifetime stability. We propose a fuzzy logic (FL)-based distributed clustering protocol to enhance the energy efficiency of WSSN while maximizing the coverage area. The load of CLs is shared by originators and super-CLs (SCLs) selected in the network. The wireless link and received signal strength (RSS) are greatly affected by environmental conditions and thus cannot be considered as ideal network parameters. We use FL systems to tackle the uncertainty of such network parameters. The proposed protocol is simulated for different scalable WSSNs. The results indicate that the proposed protocol provides better lifetime stability than the recent conventional protocols. The functionalities of the protocol are proposed considering the recent wireless standards. Hence, the proposed protocol can be suitably implemented for farmland monitoring systems. KEYWORDSfarmland monitoring, fuzzy logic (FL), network lifetime stability (NLS), originator node, super-cluster leader (SCL)

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Section: Literature Reviewmentioning

confidence: 99%

Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

Rajput

Kumaravelu

2019

Int J Communication

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“…It has been proved that TO based selection rule, offers [14]. Improper path determination may prompt loss in system throughput and energy efficiency and increase in transmission delay [4]. A large number of the path determination schemes proposed in the literature have not considered the network imbalance issue.…”

Section: International Journal Of Intelligent Engineering and Systemsmentioning

confidence: 99%

“…Due to higher energy consumption, the conventional eNBs are turned out to be inefficient. The increase in the Macro eNBs increases the energy consumption, which in turn increases the operational cost for the network operators [3,4].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Evolved Node Base Station and Relay Station Placement Scheme for Green Cellular Networks

Murugadass¹,

Kumaravelu²,

Thippayagari³

2018

IJIES

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Abstract:A novel placement of evolved node base station (eNB) and relay station (RS) is a standout amongst the most vital key necessities of multi-hop relay (MHR) networks to accomplish higher transmission rates and coverage ratio. Inappropriate eNB and RS placement leads to loss in network throughput and energy efficiency. This work focuses on quality of service (QoS) improvement based on effective eNB and RS placement for green cellular networks. An efficient modified uniform clustering based placement scheme is proposed in this work, which selects appropriate placement locations for eNB and RS from the candidate locations. The proposed scheme combines uniform clustering based placement scheme, load aware spectral efficient routing (LASER) scheme and throughput oriented (TO) selection rule to offer higher throughput and power consumption effectiveness performances even under network imbalance conditions. The simulation results accept the superior performance of our proposed scheme over the other conventional schemes.

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“…This approach also considers realistic path loss models proposed in 3GPP LTE-A. In [5], it is also proved that the computational complexity of fuzzy logic based approach is much lower than the other conventional approaches. But the placement cost minimization and pico eNB placement are not considered.…”

mentioning

confidence: 94%

“…In [5], a four-stage HetNet placement approach for 4G and beyond networks is proposed, which addressed some of the issues mentioned in [4]. This work utilizes fuzzy logic for macro, micro, and RS placement.…”

mentioning

confidence: 99%

Fuzzy Logic Based Coverage and Cost Effective Placement of Serving Nodes for 4G and Beyond Cellular Networks

Arthi

Arulmozhivarman

2017

Wireless Communications and Mobile Computing

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The densification of serving nodes is one of the potential solutions to maximize the spectral efficiency per unit area. This is preposterous on account of conventional base stations (BS) for which site procurement is costly. Long term evolution-advanced (LTE-A) defines the idea of heterogeneous networks (HetNets), where BSs with different coverage and capacity are utilized to guarantee the quality of service (QoS) requirements of the clients. To maximize the transmission quality of the clients in the coverage holes, LTE-A also defines multihop relay (MHR) networks, where the relay stations (RSs) are also placed along with the BSs. Unfortunately, the placement approaches for HetNet and MHR serving nodes are not standardized. In this work, two different approaches like site selection with maximum service coverage (SSMSC) and site selection with minimum placement cost (SSMPC) are proposed, which identifies the required number of serving nodes, their types, and the placement locations to maximize the coverage and to maintain the placement cost (PC) within the limits of the total placement budget. The simulation results demonstrate that the proposed approaches are computationally less complex and offer enhanced performance in terms of aggregate PC, coverage, and power proportion compared to the other conventional approaches.

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A Flexible and Cost-Effective Heterogeneous Network Deployment Scheme for Beyond 4G

Cited by 21 publications

References 28 publications

Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

Energy Efficient Evolved Node Base Station and Relay Station Placement Scheme for Green Cellular Networks

Fuzzy Logic Based Coverage and Cost Effective Placement of Serving Nodes for 4G and Beyond Cellular Networks

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