Augmenting network lifetime for heterogenous WSN assisted IoT using mobile agent

Singh, Harmeet; Bala, Manju; Bamber, Sukhvinder Singh

doi:10.1007/s11276-020-02422-z

Cited by 10 publications

(4 citation statements)

References 29 publications

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“…H. Singh et. al [24] proposed clustering protocol for three level hierarchical heterogeneous sensor network, where the network has been divided into two regions and both regions have different methods to select cluster heads based on LEACH and SEP. However, the concept of mobile agent has also been explored to gather data from the cluster heads.…”

Section: Related Work and Motivationmentioning

confidence: 99%

NaISEP: Neighborhood Aware Clustering Protocol for WSN Assisted IOT Network for Agricultural Application

Sehrawat¹,

Goyal²

2023

Wireless Pers Commun

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Smart farming is becoming the need of the hour nowadays in an effort to boost productivity and protect the crops. This can be done using sensors and internet enabled devices in the farm. The underlying wireless sensor network can sense various environmental parameters and can pass data to the internet enabled devices to support smart farming. The sensor nodes are, however, powered by smaller batteries and have limited lifetime. Therefore, this paper presents a clustering protocol which aims at increasing the lifetime of the sensor nodes. These sensors are considered to be pressure sensors which are deployed in the network and whenever any animal encroaches the farm, a signal can be passed to the internet enabled alarm system which can help the farmer to fend off the animals and protect his crops. The sensor network is considered to have three level of energy heterogeneity among the nodes and the cluster head is selected in such a way that the cluster formed by the head consists of more number of high energy nodes. The proposed protocol has been simulated in MATLAB environment and compared with SEP, DEEC and ISEP based on network lifetime and throughput. The protocol has shown better performance against these existing protocols.

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Section: Related Work and Motivationmentioning

confidence: 99%

NaISEP: Neighborhood Aware Clustering Protocol for WSN Assisted IOT Network for Agricultural Application

Sehrawat¹,

Goyal²

2023

Wireless Pers Commun

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“…Then the route is formed from sensors to the mobile sink tree where the intermediate nodes are selected using frontward communication area technique. The researchers in [34] have also made use of mobile sink to gather data from the CH. They have formed the super clusters among the cluster heads and then optimized the trajectory for the mobile agent to gather information from them.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Ant Colony and Cuckoo Seach Optimization Protocol for Wsn Assisted Iot Based Agricultural Application

Sehrawat

Goyal

2023

Preprint

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Internet of Things (IoT) has been observed these days in variety of applications where the devices interconnect with each other using Internet and provide much useful information for various purposes. These network are often backed by WSNs where sensors play a significant part in gathering environmental data; this data is processed and used by IoT devices for numerous applications. This paper proposes agricultural application of IoT where the soil moisture content is continuously monitored such that excess watering can be avoided; this leads to water conservation in addition to preventing the crop damage. Furthermore, sensors also monitor the environmental parameters which are responsible for causing fire in the fields. This information is sent to the server where it can be processed and damage to crops can be avoided. The clustering approach has been suggested for underlying sensor system where the main objective function of augmenting the network lifetime and reducing the data delivery delay has been laid out. The cuckoo search optimization (CS) has been used in unison with ant colony algorithm (ACO) to select the optimal cluster heads. The traffic heterogeneity scenario has been considered in the network where the fire sensors has more data to forward to base station as compared to moisture sensors; this traffic heterogeneity has been primarily considered which choosing the optimal CH. Furthermore, the information transmission process from CH to BS is also optimized by forming the paths using ACO and selecting one best out of them for data forwarding. The suggested approach was experiment in MATLAB & contrasted compared with other protocols namely GWO, ESO, GECR and LEACH based on average residual energy of the system, network stability, network lifetime and delivery delay. The suggested approach has managed to achieve good system lifespan & less delivery delays.

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“…Likewise, Bat algorithm is employed to optimize the movement trajectory of mobile DCs. An energy efficient procedure is described in [20] for a heterogeneous WSN, which utilized a mobile agent to reduce the energy consumption of nodes with lower remaining energy. In fact, the mobile agent is responsible to collect data from the nodes with higher energy consumption and then forward to a BS.…”

Section: Related Workmentioning

confidence: 99%

“…In mobile Data Collector (DC)-based schemes, DCs are responsible to move along rendezvous locations to collect data from sensor nodes and forward to a BS. The aim behind such schemes is to reduce the data transmission range of node and thereby reducing their energy consumption [15,[18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Static Data Collector-based Scheme in Smart Cities

Rajab¹

2022

Computers, Materials &Amp; Continua

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In the Internet of Things (IoT)-based smart city applications, employing the Data Collectors (DC) as the data brokers between the nodes and Base Station (BS) can be a promising solution to enhance the energy efficiency of energy-constrained IoT sensor nodes. There are several schemes that utilize mobile DCs to collect the data packets from sensor nodes. However, moving DCs along the hundreds of thousands of sensors sparsely distributed across a smart city is considered a design challenge in such schemes. Another concern lies in how these mobile DCs are being powered. Therefore, to overcome these limitations, we exploit multiple energy-limited Static Data Collectors (SDC) which are deployed at the locations optimized so that the energy consumption of both nodes and SDCs is minimized. Likewise, an Unmanned Aerial Vehicle (UAV)-enabled wireless power transfer is considered for sustaining the SDCs to avoid their energy depletion and data packet loss. The sustainable charging process operates periodically in each cycle so that the UAV flies from a charging station and after recharging the SDCs, it comes back to the station to be recharged. In this study, we formulate a problem to optimize the movement trajectory and charging time of UAV so that sustainable operation of SDCs during a cycle can be achieved. Unlike the prior studies, our proposed scheme determines the optimal trajectory and charging time at the beginning of each cycle which leads to increase accuracy in comparison with long-term optimization-based schemes. The outcomes of simulation experiments show that the proposed scheme achieves improved network performance in terms of data delivery ratio (12.5%); system throughput (6.6%); total energy consumption (59.19%); and network lifetime (58%) as compared to previous related works.

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Augmenting network lifetime for heterogenous WSN assisted IoT using mobile agent

Cited by 10 publications

References 29 publications

NaISEP: Neighborhood Aware Clustering Protocol for WSN Assisted IOT Network for Agricultural Application

NaISEP: Neighborhood Aware Clustering Protocol for WSN Assisted IOT Network for Agricultural Application

Hybrid Ant Colony and Cuckoo Seach Optimization Protocol for Wsn Assisted Iot Based Agricultural Application

Energy-Efficient Static Data Collector-based Scheme in Smart Cities

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