GHHECR Protocol for Energy Conserving Routing in Sensor Networks

Jaleel, Mohd. Uruj; Chaturvedi, Ashish

doi:10.5120/1764-2419

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Neural-based Da Technique1

Group Head Hierarchical Energy Efficient Routing (Ghhecr) Pr1

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Cited by 2 publications

(3 citation statements)

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“…ii. GHHECR protocol [8], it will not give accurate values for routing, because of insecure routing for data aggregation.…”

Section: Neural-based Da Techniquementioning

confidence: 99%

Agent Based Energy Efficiency in WSN

Jukuntla¹,

Venkatesulu²

2019

IJCA

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A large number of Wireless Sensor Network (WSN) devices are used to monitor the data from the environment and many applications such as disaster management, monitoring, military, healthcare and security etc. are used to monitor the environment. In these networks sensor nodes transmission rate is high and it leads to limit the battery power. This causes network redundancy and network life time will not be prolonged. In this paper, this can be addressed by using with the help of agents. Here, agents are used to collect data from the cluster head instead of forwarding directly to the mobile sink. When data collection is done, agents will transmit data to the mobile sink. This may reduce energy consumption and prolongs the network life in WSNs. Along with agents, existing techniques are also presented in this paper with comparative study.

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“…ii. GHHECR protocol [8], it will not give accurate values for routing, because of insecure routing for data aggregation.…”

Section: Neural-based Da Techniquementioning

confidence: 99%

Agent Based Energy Efficiency in WSN

Jukuntla¹,

Venkatesulu²

2019

IJCA

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show abstract

“…Group head hierarchical energy conserving routing protocol called GHHECR is proposed in [25]. Their GHHECR aims the achievement of energy conservation through the use of both an energy efficient routing strategy and energy aware route selection scheme [25].…”

Section: Group Head Hierarchical Energy Efficient Routing (Ghhecr) Prmentioning

confidence: 99%

“…However, the existing works on NNs does not concentrate much on the security measures. All the three data aggregation techniques: REM [14], GHHECR [25] and CCA [26] consider the reduction in cost and the consumption of energy as the major objective. Results do not give accurate values and thus there is no information about how many nodes are put into sleep.…”

Section: Summarisationmentioning

confidence: 99%