Energy Aware Multi-Hop Routing Protocol for WSNs

Cengiz, Korhan; Dağ, Tamer

doi:10.1109/access.2017.2784542

Cited by 78 publications

(47 citation statements)

References 19 publications

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“…An attempt has been made by Cengiz and Dag. 48 The proposed scheme is comprises two phases such as setup phase and steady-state phase. The setup phase made once in network lifetime in which CHs, CMs and other distributer are assigned their roles.…”

Section: Related Literaturementioning

confidence: 99%

Trust-based energy-efficient routing protocol for Internet of things–based sensor networks

Ilyas

Ullah

Khan

et al. 2020

International Journal of Distributed Sensor Networks

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Internet of things grew swiftly and many services, software, sensors-embedded electronic devices and related protocols were developed and still in progress with full swing. Internet of things enabling physically existing things to see, hear, think and perform a notable task by allowing them to talk to each other and share useful information while making decision and caring-on/out their important tasks. Internet of things is greatly promoted by wireless sensor network as it becomes a perpetual layer for it. Wireless sensor network works as a base-stone for most of the Internet of things applications. There are severe general and specific threats and technical challenges to Internet of things–based sensor networks which must overcome to ensure adaptation and diffusion of it. Most of the limitations of wireless sensor networks are due to its resource constraint objects nature. The specified open research challenges in Internet of things–based sensor network are power consumption, network lifespan, network throughput, routing and network security. To overcome aforementioned problems, this work aimed to prolong network lifetime, improve throughput, decrease packet latency/packet loss and further improvise in encountering malicious nodes. To further tune the network lifetime in terms of energy, wireless harvesting energy is suggested in proposed three-layer cluster-based wireless sensor network routing protocol. The proposed mechanism is a three-tier clustering technique with implanted security mechanism to encounter malicious activities of sensor nodes and to slant them into blacklist. It is a centred-based clustering protocol, where selection of cluster head and grid head is carried out by sink node based on the value of its cost function. Moreover, hardware-based link quality estimators are used to check link effectiveness and to further improve routing efficiency. At the end, excessive experiments have been carried out to check efficacy of the proposed protocol. It outperforms most of its counterpart protocols such as fuzzy logic–based unequal clustering and ant colony optimization–based routing hybrid, Artificial Bee Colony-SD, enhanced three-layer hybrid clustering mechanism and energy aware multi-hop routing in terms of network lifetime, network throughput, average energy consumption and packet latency.

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Section: Related Literaturementioning

confidence: 99%

Trust-based energy-efficient routing protocol for Internet of things–based sensor networks

Ilyas

Ullah

Khan

et al. 2020

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

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“…This stage is performed just a single time toward the start of the EAMR. In the steady-state phase, the major processes are the transmission of the gathered information, CH reallocation, and redistributor hub selection [89].…”

Section: Energy-aware Multihop Routing (Eamr)mentioning

confidence: 99%

Optimization of Routing-Based Clustering Approaches in Wireless Sensor Network: Review and Open Research Issues

et al. 2020

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In today’s sensor network research, numerous technologies are used for the enhancement of earlier studies that focused on cost-effectiveness in addition to time-saving and novel approaches. This survey presents complete details about those earlier models and their research gaps. In general, clustering is focused on managing the energy factors in wireless sensor networks (WSNs). In this study, we primarily concentrated on multihop routing in a clustering environment. Our study was classified according to cluster-related parameters and properties and is subdivided into three approach categories: (1) parameter-based, (2) optimization-based, and (3) methodology-based. In the entire category, several techniques were identified, and the concept, parameters, advantages, and disadvantages are elaborated. Based on this attempt, we provide useful information to the audience to be used while they investigate their research ideas and to develop a novel model in order to overcome the drawbacks that are present in the WSN-based clustering models.

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“…An energy-aware multi-hop routing (EAMR) protocol was proposed in 2017 [31]. This method aims to reduce overhead by reducing variations of CHs.…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Unequal Clustering Based on Density with Energy Conservation in Wireless Nodes

et al. 2019

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The Internet of things (IoT) provides the possibility of communication between smart devices and any object at any time. In this context, wireless nodes play an important role in reducing costs and simple use. Since these nodes are often used in less accessible locations, recharging their battery is hardly feasible and in some cases is practically impossible. Hence, energy conservation within each node is a challenging discussion. Clustering is an efficient solution to increase the lifetime of the network and reduce the energy consumption of the nodes. In this paper, a novel hybrid unequal multi-hop clustering based on density (HCD) is proposed to increase the network lifetime. In the proposed protocol, the cluster head (CH) selection is performed only by comparing the status of each node to its neighboring nodes. In this new technique, the parameters involving energy of nodes, the number of neighboring nodes, the distance to the base station (BS), and the layer where the node is placed in are considered in CH selection. So, in this new and simple technique considers energy consumption of the network and load balancing. Clustering is performed unequally so that cluster heads (CHs) close to BS have more energy for data relay. Also, a hybrid dynamic–static clustering was performed to decrease overhead. In the current protocol, a distributed clustering and multi-hop routing approach was applied between cluster members (CMs), to CHs, and CHs to BS. HCD is applied as a novel assistance to cluster heads (ACHs) mechanism, in a way that a CH accepts to use member nodes with suitable state to share traffic load. Furthermore, we performed simulation for two different scenarios. Simulation results showed the reliability of the proposed method as it was resulted in a significant increase in network stability and energy balance as well as network lifetime and efficiency.

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Energy Aware Multi-Hop Routing Protocol for WSNs

Cited by 78 publications

References 19 publications

Trust-based energy-efficient routing protocol for Internet of things–based sensor networks

Trust-based energy-efficient routing protocol for Internet of things–based sensor networks

Optimization of Routing-Based Clustering Approaches in Wireless Sensor Network: Review and Open Research Issues

A Hybrid Unequal Clustering Based on Density with Energy Conservation in Wireless Nodes

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