An efficient data transmission scheme through 5G D2D-enabled relays in wireless sensor networks

Barik, Pradip Kumar; Singhal, Chetna; Datta, Raja

doi:10.1016/j.comcom.2021.01.004

Cited by 14 publications

(3 citation statements)

References 19 publications

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“…They did not consider the energy of distant nodes, which were incapable of transferring data toward the base station. Lin et al [23] proposed a fan-shaped clustering mechanism for large-scale sensor networks. They divided the entire network into a few fan-shaped clusters and introduced various energy-saving schemes through CH selection, relay selection, and reclustering methods.…”

Section: Related Workmentioning

confidence: 99%

Relay-assisted wireless energy harvesting for multihop clustered IoT network

Pavani,

Subbareddy,

Devi

2023

Intell. and Converged Netw.

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In large-scale networks such as the Internet of Things (IoT), devices seek multihop communication for longdistance communications, which considerably impacts their power exhaustion. Hence, this study proposes an energy harvesting-enabled, relay-based communication in multihop clustered IoT networks in a bid to conserve the battery power in multihop IoT networks. Initially, this study proposes an efficient, hierarchical clustering mechanism in which entire IoT devices are clustered into two types: the closest cluster (CC) and remote clusters (RCs). Additionally, Euclidean distance is employed for the CC and fuzzy c-means for the RCs. Next, for cluster head (CH) selection, this study models a fitness function based on two metrics, namely residual energy and distance (device-to-device distance and device-to-sink distance). After CH selection, the entire clustered network is partitioned into several layers, after which a relay selection mechanism is applied. For every CH of the upper layer, we assign a few lower-layer CHs to function as relays. The relay selection mechanism is applied only for the devices in the RCs, while for devices in the CC, the CH functions as a relay. Finally, several simulation experiments are conducted to validate the proposed method's performance. The results show the method's superiority in terms of energy efficiency and optimal number of relays in comparison with the state-of-the-art methods.

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Section: Related Workmentioning

confidence: 99%

Relay-assisted wireless energy harvesting for multihop clustered IoT network

Pavani,

Subbareddy,

Devi

2023

Intell. and Converged Netw.

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show abstract

“…In most sensor network environments, the functional life expectancy of sensor devices depends upon the power in a battery. Nowadays, some effective methods have been adapted to provide power backup for the nodes in a network, especially the nodes running out of power, such as harvesting energy from ambient sources [11]. Constructing an e cient WSN is not a simple process.…”

Section: Introductionmentioning

confidence: 99%

Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization

Karthikeyan,

Vadivel

2024

Wireless Pers Commun

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The device was invented to sense the variations in the deployed Environment, which takes different dimensions in its functionality. The basic operation does not change; it is the same surveillance, gathering and alert. Human intervention in all places is not possible and e cient monitoring in all circumstances cannot be done manually. Wireless Sensor Networks give the solution for the abovespeci ed problem, continuous e cient monitoring and alerting on time without human intervention in any circumstances. Deploying WSNs and extracting e cient performance requires a strong technology backup. However, it's a machine in logical connectivity that may face several technical issues while transferring the gathered data. It has to be recti ed, and e cient service to be provided in the deployed application. Finding the safest and fastest path is one of the critical tasks in the WSN. To achieve that, Bio-Inspired Computing will be used as a tool for designing the protocol to attain the fastest reliable network, even if it deals with the other problems in WSN, such as e cient energy utilization from the battery. In such a way, the Paper is proposed based on the exceptional and exciting behavior of one of the living things, which shook the entire world for almost two years in all aspects, and even a few countries are still seeking a way to come back from its impact, the reason for global lockdown, born with the crown, founder of social distancing, which is popularly known as "Corona" the virus.

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“…5G networks feature lower latency, higher capacity, and increased bandwidth compared to conventional cellular networks, as shown in Figure 1. The D2D communication in 5G has attained significant consideration and is now viewed as a promising technology for IoT networks due to its high data rate, low transmission delay and high power efficiency [8][9][10][11][12]. The IoT is the foundation of D2D communication, which incorporates billions of internet-connected devices.…”

Section: Introductionmentioning

confidence: 99%

MBMQA: A Multicriteria-Aware Routing Approach for the IoT 5G Network Based on D2D Communication

et al. 2021

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With the rapid development of future wireless networks, device-to-device (D2D) technology is widely used as the communication system in the Internet of Things (IoT) fifth generation (5G) network. The IoT 5G network based on D2D communication technology provides pervasive intelligent applications. However, to realize this reliable technology, several issues need to be critically addressed. Firstly, the device’s energy is constrained during its vital operations due to limited battery power; thereby, the connectivity will suffer from link failures when the device’s energy is exhausted. Similarly, the device’s mobility alters the network topology in an arbitrary manner, which affects the stability of established routes. Meanwhile, traffic congestion occurs in the network due to the backlog packet in the queue of devices. This paper presents a Mobility, Battery, and Queue length Multipath-Aware (MBMQA) routing scheme for the IoT 5G network based on D2D communication to cope with these key challenges. The back-pressure algorithm strategy is employed to divert packet flow and illuminate the device selection’s estimated value. Furthermore, a Multiple-Attributes Route Selection (MARS) metric is applied for the optimal route selection with load balancing in the D2D-based IoT 5G network. Overall, the obtained simulation results demonstrate that the proposed MBMQA routing scheme significantly improves the network performance and quality of service (QoS) as compared with the other existing routing schemes.

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An efficient data transmission scheme through 5G D2D-enabled relays in wireless sensor networks

Cited by 14 publications

References 19 publications

Relay-assisted wireless energy harvesting for multihop clustered IoT network

Relay-assisted wireless energy harvesting for multihop clustered IoT network

Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization

MBMQA: A Multicriteria-Aware Routing Approach for the IoT 5G Network Based on D2D Communication

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