Energy‐efficient medium access control and routing protocol for multihop wireless sensor networks

Sefuba, Maria; Walingo, Tom

doi:10.1049/iet-wss.2017.0002

Cited by 21 publications

(18 citation statements)

References 22 publications

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“…It is exceptionally powerful system and explicit to the application, and furthermore it has constrained vitality, stockpiling, and handling ability. These qualities make it an exceptionally moving errand to build up a steering convention [2][3][4]. In the vast majority of the situations, numerous sources are required to send their information to a specific base station.…”

Section: Routing In Wireless Sensor Networkmentioning

confidence: 99%

Formulation of an Energy Efficient Routing Problem in Cooperative Wireless Sensor Networks

G.E*¹

2019

IJITEE

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A brief comprehensive research review of the various advances in the development of energy efficient distributed cooperative routing protocols for the WSNs, i.e., wireless sensor network in the current scenario is taken into consideration for the formulation of a research problem and is presented in a nut shell in this research article. The research problem is finalized with the clear objectives & outcomes.

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Section: Routing In Wireless Sensor Networkmentioning

confidence: 99%

Formulation of an Energy Efficient Routing Problem in Cooperative Wireless Sensor Networks

G.E*¹

2019

IJITEE

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“…In 2018 [3], This work presents a combined energy-efficient medium access control (MAC) and routing protocol for largescale wireless sensor networks that aims to minimize energy consumption and prolong the network lifetime. The proposed communication framework employs the following measures to enhance the network energy efficiency.…”

Section: In 2018 [2]mentioning

confidence: 99%

“…The optimal route is selected based on the metrics, such as minimum hop, high remaining energy, minimum broadcast cost etc. to route the data [2][3][4][5]. Though the single-route approach is easy and scalable, but choosing an optimal route and transmitting the data throughout that route may not increase the sensor network lifetime [6].…”

Section: Introductionmentioning

confidence: 99%

A Review of Sensor Node in Wireless Sensor Networks

Ashokkumar¹,

Jhapate²

2019

IJTSRD

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Wireless Sensor Networks (WSNs) are collection of tiny sensor nodes capable of sensing, processing and broadcasting data correlated to some occurrence in the network area. The sensor nodes have severe limitation, such as: bandwidth, short communication range, limited CPU processing facility, memory and energy. Enhancing the lifetime of wireless sensors network and efficient utilizations of bandwidth are essential for the proliferation of wireless sensor network in different applications. We provide an in-depth study of applying wireless sensor networks (WSNs) to real-world habitat monitoring. A set of system design requirements were developed that cover the hardware design of the nodes, the sensor network software, protective enclosures, and system architecture to meet the requirements of biologists. Although researchers anticipate some challenges arising in real-world deployments of WSNs, many problems can only be discovered through experience. We present a set of experiences from a four month long deployment on a remote island. We analyze the environmental and node health data to evaluate system performance. The close integration of WSNs with their environment provides environmental data at densities previously impossible. We show that the sensor data is also useful for predicting system operation and network failures. Based on over one million data readings, we analyze the node and network design and develop network reliability profiles and failure models.

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“…Routing and medium access control (MAC) protocols designed for sensor network facilitate route discovery and channel access for communication. Routing protocols designed for sensor network are focused to improve the outcome of the network by suppressing the communication issues originated due to resource limitations [2].…”

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confidence: 99%

Energy-Centric Route Planning using Machine Learning Algorithm for Data Intensive Secure Multi-Sink Sensor Networks

2019

IJITEE

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Wireless sensor network (WSN) is energy operated self-disciplined ad-hoc technology capable of sensing and actuating environmental phenomenon. The sensed information is shared between communication sinks for access and processing. Energy conservation and route planning are prominent in determining the efficiency of the sensor network. In this paper, energy-centric route planning (ECRP) technique is introduced to address the inequalityin sensor node lifetime and routing along with security requirements. ECRP depends on the individual and co-operative energy expenses of the nodes to retain a balanced communication link. The expenses are monitored and a profitable route plan is designed using a machine learning algorithm that assists in identifying a non-deficient neighbor for routing. Both energy optimization and route refurbishing are controlled by the analysis and decisions of the learning algorithm. The Learning process is instigated with the node energy and current route neighbor information for discovering efficient communication paths to the sink. Security is administered using trust process in this path planning and routing for selecting reliable neighbors. This helps to retain security throughout the routing process.The impact of the proposed ECRP over sensor network is verified using the metrics: throughput, active nodes, transmitting energy, routing complexity and delay.

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Energy‐efficient medium access control and routing protocol for multihop wireless sensor networks

Cited by 21 publications

References 22 publications

Formulation of an Energy Efficient Routing Problem in Cooperative Wireless Sensor Networks

Formulation of an Energy Efficient Routing Problem in Cooperative Wireless Sensor Networks

A Review of Sensor Node in Wireless Sensor Networks

Energy-Centric Route Planning using Machine Learning Algorithm for Data Intensive Secure Multi-Sink Sensor Networks

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