Multi-Gateway-Based Energy Holes Avoidance Routing Protocol for WSN

Sharma, Rohini; Lobiyal, D. K.

doi:10.3390/informatics3020005

Cited by 11 publications

(8 citation statements)

References 34 publications

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“…To overcome this key limitation of clustering approaches where CHs are selected from the normal sensor nodes, the use of some extraordinary nodes called gateways or relay nodes were introduced in [4,12,13], which are equipped with superfluous energy and larger communication range than the normal sensor nodes. Nadeem et al presented such a gateway-based multi-hop energy-aware routing protocol (M-GEAR) [12] to optimize energy consumption and network lifetime.…”

Section: Related Workmentioning

confidence: 99%

“…Under this algorithm, a CH can transmit data to any gateway node. Rohini Sharma et al proposed the Multi-Gateway-Based Energy Holes Avoidance Routing Protocol (MGBEHA) [13], which is a noble technique for the avoidance of energy hole near the sink region. This protocol has the provision of saving the energy of the nodes by decreasing the distance of transmission between the transmitter and the receiver.…”

Section: Related Workmentioning

confidence: 99%

“…To prolong the network lifetime of a cluster based WSNs significantly, nowadays, researchers often use some extraordinary nodes of which are equipped with excessive energy and has wider communication coverage area than the traditional sensor nodes. Gateway Based Multi-Hop Distributed Energy Efficient Clustering Protocol (G-DEEC) [11], gateway-based energy-aware multi-hop routing protocol (M-GEAR) [12], Multi-Gateway-Based Energy Holes Avoidance Routing Protocol [13] are examples of such cluster and gateway-based routing protocols for WSNs.…”

Section: Introductionmentioning

confidence: 99%

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EAGBRP: A Gateway Based Routing Protocol for Heterogeneous Wireless Sensor Networks

et al. 2021

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In most of the cluster-based routing protocols for wireless sensor networks (WSNs), cluster heads (CHs) are selected from the normal sensors which may expire rapidly due to fast energy diminution for such an additional workload. As a consequence, the network lifetime of such cluster-based routing protocol reduces drastically. To resolve these constraints, in this study, we proposed a gateway-based routing protocol-namely Energy-Aware Gateway Based Routing Protocol (EAGBRP) for WSNs. In our proposed protocol, the deployed sensor nodes of a WSN were divided into five logical regions based on their location in the sensing field. The base station (BS) was installed out of the sensing area, and two gateway nodes were inaugurated at two predefined regions of the sensing area. The CH in each region is independent of the other regions and selected based on a weighted election probability. We implemented our proposed routing protocol through simulations. To evaluate the performance of our EAGBRP, we simulated SEP, M-GEAR, and MGBEHA (4GW) protocols. The network lifetime, throughput, and residual energy parameters are utilized for performance analysis. It is revealed from the performance analysis results that WSNs with EAGBRP achieve maximum network lifetime and throughput over other considered protocols with minimum energy consumption.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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EAGBRP: A Gateway Based Routing Protocol for Heterogeneous Wireless Sensor Networks

et al. 2021

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“…, with the slot duration implicitly assumed to be equal to one hour. The gateway energy consumption is modeled following [15]. The model takes into account the energy consumption for receiving bits of data and aggregating messages:…”

Section: System Modelmentioning

confidence: 99%

Energy cooperation for sustainable IoT services within smart cities

Gambı́n

Gindullina

Badia

et al. 2018

2018 IEEE Wireless Communications and Networking Conference (WCNC)

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In this paper, we consider energy cooperation in an Internet of Things (IoT) smart city scenario. We assume the presence of interconnecting energy harvesting IoT gateways (GWs), that are endowed with energy harvesting capabilities and whose role is to collect and aggregate data from field sensing devices. Energy cooperation complements and balances the energetic needs to those devices that are neither connected to the power grid, nor satisfactorily served by energy harvesting due to the instability of ambient energy arrivals. The proposed solution entail energy transfers from energy rich gateways to energy scarce ones, i.e., those which are not connected to the power grid. To identify the optimal energy transfer/allocation scheme, we formulate a convex optimization problem that finds the optimal solution for heterogeneous smart systems. With this energy allocation technique, the gateways are unlikely to run out of energy during operation and the gap between energy offer and demand among interconnected gateways is kept to a minimum. We also quantify the performance of the proposed energy transfer policies as a function of network parameters, including: the amount of traffic generated by sensing devices, the number of smart services in the system, and the number of gateways that are connected to the power grid.

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“…In order to reduce the energy consumption, some researches are focused on the data transmission [ 12 , 13 ]. Rohini et al compared different communication protocols with their own protocol based on mote positions and subdivision into regions to improve the data transmission energy consumption.…”

Section: State Of the Artmentioning

confidence: 99%

A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes

Vaquerizo-Hdez

Muñoz

Barrero

2017

Sensors

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Wireless Sensor Networks (WSNs) are becoming increasingly popular since they can gather information from different locations without wires. This advantage is exploited in applications such as robotic systems, telecare, domotic or smart cities, among others. To gain independence from the electricity grid, WSNs devices are equipped with batteries, therefore their operational time is determined by the time that the batteries can power on the device. As a consequence, engineers must consider low energy consumption as a critical objective to design WSNs. Several approaches can be taken to make efficient use of energy in WSNs, for instance low-duty-cycling sensor networks (LDC-WSN). Based on the LDC-WSNs, we present LOKA, a LOw power Konsumption Algorithm to minimize WSNs energy consumption using different power modes in a sensor mote. The contribution of the work is a novel algorithm called LOKA that implements two duty-cycling mechanisms using the end-device of the ZigBee protocol (of the Application Support Sublayer) and an external microcontroller (Cortex M0+) in order to minimize the energy consumption of a delay tolerant networking. Experiments show that using LOKA, the energy required by the sensor device is reduced to half with respect to the same sensor device without using LOKA.

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Multi-Gateway-Based Energy Holes Avoidance Routing Protocol for WSN

Cited by 11 publications

References 34 publications

EAGBRP: A Gateway Based Routing Protocol for Heterogeneous Wireless Sensor Networks

EAGBRP: A Gateway Based Routing Protocol for Heterogeneous Wireless Sensor Networks

Energy cooperation for sustainable IoT services within smart cities

A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes

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