Energy-Efficient Multi-hop Hierarchical Routing Protocol using Fuzzy Logic (EMHR-FL) for Wireless Sensor Networks

Amri, Saber; Kaddachi, Med Lassaad; Trad, Abdelbasset

doi:10.1109/wccais.2014.6916567

Cited by 7 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further work can be done where delay can be reduced by dropping the service requests of the application. An energy efficient multi-hop hierarchical routing protocol based on self-organizing map (EMHRS) [7] is developed with the incorporation artificial intelligent algorithm for multi-hop communication in clusters. The nodes that have low energy are selected as the intermediate nodes for next hop, where the distribution of energy within the network is performed to balance the energy consumption.…”

Section: Related Workmentioning

confidence: 99%

“…The diverse applications require the continuous and uninterrupted monitoring of the surroundings, even in harsh environments, thus requiring operable nodes for a longer period of time. Therefore, optimizing the energy efficiency of nodes has been a top priority for which, various routing techniques have been developed to reduce the overhead of the network [7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Designing an Energy Efficient Network Using Integration of KSOM, ANN and Data Fusion Techniques

Singh

Pareek²

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

Energy in a wireless sensor network (WSN) is rendered as the major constraint that affects the overall feasibility and performance of a network. With the dynamic and demanding requirements of diverse applications, the need for an energy efficient network persists. Therefore, this paper proposes a mechanism for optimizing the energy consumption in WSN through the integration of artificial neural networks (ANN) and Kohonen self-organizing map (KSOM) techniques. The clusters are formed and re-located after iteration for effective distribution of energy and reduction of energy depletion at individual nodes. Furthermore, back propagation algorithm is used as a supervised learning method for optimizing the approach and reducing the loss function. The simulation results show the effectiveness of the proposed energy efficient network.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Designing an Energy Efficient Network Using Integration of KSOM, ANN and Data Fusion Techniques

Singh

Pareek²

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

show abstract

“…Energy Based Clustering Self organizing map (EBCS) based clustering was developed by Enami et al [51]. Amri et al [52] developed a Multi-hop Hierarchical Routing Protocol using Fuzzy Logic (EMHR-FL), where Fuzzy Logic Inference System (FIS) was used to perform next-hop selection by considering residual energy of CHs, distance between CHs and node density. Kubo et al [53] performed multiple cooperative nodes selection by using "quality" and "angle" metrics.…”

Section: Be Effective To Enable a Qos Oriented And Energy Efficient Rmentioning

confidence: 99%

QoS Oriented and Energy Efficient Routing Protocol for Cooperative MIMO Based Mobile WSN: Q-E2RPC

Reddy¹,

Devanagavi²,

Thippeswamy³

2019

JESTR

View full text Add to dashboard Cite

In this paper, a robust mobility assisted WSN routing protocol named QoS oriented and Energy Efficient Routing Protocol for Cooperative Multiple Input Multiple Output (MIMO) based mobile WSNs (Q-E2RPC) has been developed that exploits the efficiency of network partitioning, Fuzzy Clustering Mean (FCM) and Expectation Maximization (EM) based clustering, Fuzzy Logic Controller (FLC) based Cluster Head (CH) selection and mobile sink based data gathering to meet QoS demands and energy efficiency. Unlike classical clustering methods FCM and EM as a cumulative solution enables optimal clustering, which is followed by the multiple network parameters based CH selection. The use of single mobile sink avoided multi-hop transmission and signaling overheads that eventually reduced energy consumption. Q-E2RPC protocol exhibited timely data delivery, low energy consumption, and reduced signaling overheads. The results exhibited that Q-E2RPC outperforms other state-of-art techniques in terms of higher throughput, low delay and energy consumption, and higher network efficacy.

show abstract

“…Flat, hierarchical and the location based routing are the three major categories of routing techniques which have played a significant role to optimize the energy in WSNs. The self organizing map neural network with intelligent method has optimized the routing performance in terms of the conservation of energy and the node computation power [25]. Hierarchical routing protocols have good adaptability and the conservation of energy when compared to the plane routing protocols.…”

Section: Literecture Survey: Df In Wsnmentioning

confidence: 99%

A Novel Energy Aware Routing Approach using ANN Technique with Data Fusion in WSN: Review

Singh¹,

Pareek²,

Ahlawat³

2016

IJCA

View full text Add to dashboard Cite

Since WSN having a limitation of the limited battery life time and if the battery will die soon i.e. Network has a finite lifespan. The most famous issue facing network designers in wireless networks is to maximize network life. In wireless communication devices, due to resource constraints sensors evidence and delivery of reliable data is a difficult task. The motivation behind this study is the some critical limitation of energy aware routing protocols. Such as; it's not easy to communicate to Base Station (BS) for that Cluster Head (CH) which is at maximum distance from Base Station therefore to make a novel mechanism by which long distance/route CH can be communicate with fast time with minimum energy consumptions to the base station (BS), here introduced data fusion concept. In WSN can be deployed a fusion point for accurate decision. This study includes directing the efficient use of artificial intelligent protocol with data fusion concept.

show abstract

Energy-Efficient Multi-hop Hierarchical Routing Protocol using Fuzzy Logic (EMHR-FL) for Wireless Sensor Networks

Cited by 7 publications

References 13 publications

Designing an Energy Efficient Network Using Integration of KSOM, ANN and Data Fusion Techniques

Designing an Energy Efficient Network Using Integration of KSOM, ANN and Data Fusion Techniques

QoS Oriented and Energy Efficient Routing Protocol for Cooperative MIMO Based Mobile WSN: Q-E2RPC

A Novel Energy Aware Routing Approach using ANN Technique with Data Fusion in WSN: Review

Contact Info

Product

Resources

About