Energy Efficient Load Balanced Routing Protocol for Wireless Sensor Networks

Omar, Alghanmi Ali; Kim, Chonggun

doi:10.5121/csit.2014.4213

Cited by 11 publications

(13 citation statements)

References 11 publications

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“…ERPLBC‐CS: This algorithm proposes an efficient load‐balanced clustered routing protocol. Authors in [27] combine new clustering strategy with compressive sensing (CS) theory. CS theory is one of signal processing techniques for transferring sufficient information with low power consumption.…”

Section: Related Workmentioning

confidence: 99%

HEEL: A new clustering method to improve wireless sensor network lifetime

Seyyedabbasi

Doğan

Kiani

2020

IET wirel. sens. syst.

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In wireless sensor networks, some resources such as memory and energy are limited. In recent years, there has been an increasing interest in improving network lifetime. Node energy plays an important role in the network lifetime. Along with this remarkable growth in wireless sensor networks, however, there is an increasing concern over network lifetime. The principal purpose of this study is to develop an understanding of the effects of other parameters on selecting a cluster head. The methodological approach taken in this study is a mixed methodology typically based on the node's energy. The authors have operated four parameters to select the cluster head: Node energy, the energy of the node's neighbours, number of hops and number of links to neighbours. Each of these parameters has an impact in selecting the cluster head. They accurately observed hop size, energy of each sensor node, average energy of sensor neighbours, links to sensor nodes (HEEL) has better improvements in comparison of Node ranked Low Energy Adaptive Clustering Hierarchy (Nr-LEACH), Modified Low Energy Adaptive Clustering Hierarchy (ModLEACH), Low Energy Adaptive Clustering Hierarchy-B (LEACH-B), Low Energy Adaptive Clustering Hierarchy (LEACH), Power-Efficient Gathering in Sensor Information System (PEGASIS), energy-aware clustering scheme with transmission power control for sensor networks (EACLE) and hybrid energy efficient distributed clustering (HEED) algorithms in possible case of network lifetime and throughput.

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Section: Related Workmentioning

confidence: 99%

HEEL: A new clustering method to improve wireless sensor network lifetime

Seyyedabbasi

Doğan

Kiani

2020

IET wirel. sens. syst.

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“…In Hierarchical protocols, the sensor nodes are grouped into a set of clusters, and one node is elected from each cluster as a cluster head (CH) and the remaining sensors are cluster members (CMs). CH can do aggregation to reduce data and save energy [12,14,[38][39][40][41][42][43][44]. Location-based protocols utilize location details to send the data to required areas instead of the whole WSN [22].…”

Section: Wsn Routing Is Challenging and Difficult Due To Various Featmentioning

confidence: 99%

“…to process data collected from multiple sensor nodes to monitor activities and events in the observation area [1][2][3][34][35][36][37][38][39][40][41][42][43][44]. Due to presence of wind and obstacles, the actual landing positions of sensors cannot be controlled.…”

mentioning

confidence: 99%

Effective data routing using mobile sinks in disjoint mobile wireless sensor networks

Ramadan¹,

Khedr²,

Agrawal³

2019

PEN

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In Mobile WSNs (MWSNs) , disjoint clusters could be naturally formed in an unpredictable way that possess the nature of highly dynamic connected and disconnected schema. Many partitions of the network could happen in disjoint mobile wireless sensor networks (DMWSNs), and could last for a significant amount of time that can challenge current routing protocols in crisis-driven and geography-driven applications. We propose in this paper, two new centralized and distributed routing discovery protocols for DMWSN. In the centralized protocol, the static sink controls the motion of mobile sinks. In the distributed protocol, each mobile sink is responsible for collecting data in a specific region. In our work, the mobile sinks need to coordinate among themselves for communication with the base station (BS). The simulation results shows the advantage of our newly proposed protocols in terms of time delay, energy consumed, and the delivery ratio.

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“…There are different technologies and standards which have been adopted based on applications and data rate, frequency band, power consumption, and distance. Some common technologies are Wibree, Wifi, GPRS, WiMAX, Bluetooth, and ZigBee [2,8]. Monitored data was obtained from the deployed sensor nodes and then was wirelessly forwarded to the BS for data collection.…”

Section: Introductionmentioning

confidence: 99%

Optimized Cluster-Based Dynamic Energy-Aware Routing Protocol for Wireless Sensor Networks in Agriculture Precision

et al. 2020

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Wireless sensor networks (WSNs) are becoming one of the demanding platforms, where sensor nodes are sensing and monitoring the physical or environmental conditions and transmit the data to the base station via multihop routing. Agriculture sector also adopted these networks to promote innovations for environmental friendly farming methods, lower the management cost, and achieve scientific cultivation. Due to limited capabilities, the sensor nodes have suffered with energy issues and complex routing processes and lead to data transmission failure and delay in the sensor-based agriculture fields. Due to these limitations, the sensor nodes near the base station are always relaying on it and cause extra burden on base station or going into useless state. To address these issues, this study proposes a Gateway Clustering Energy-Efficient Centroid-(GCEEC-) based routing protocol where cluster head is selected from the centroid position and gateway nodes are selected from each cluster. Gateway node reduces the data load from cluster head nodes and forwards the data towards the base station. Simulation has performed to evaluate the proposed protocol with state-of-the-art protocols. The experimental results indicated the better performance of proposed protocol and provide more feasible WSN-based monitoring for temperature, humidity, and illumination in agriculture sector.

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Energy Efficient Load Balanced Routing Protocol for Wireless Sensor Networks

Abstract: ABSTRACT

Cited by 11 publications

References 11 publications

HEEL: A new clustering method to improve wireless sensor network lifetime

HEEL: A new clustering method to improve wireless sensor network lifetime

Effective data routing using mobile sinks in disjoint mobile wireless sensor networks

Optimized Cluster-Based Dynamic Energy-Aware Routing Protocol for Wireless Sensor Networks in Agriculture Precision

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