BTA-MM: Burst traffic awareness-based adaptive mobility model with mobile sinks for heterogeneous wireless sensor networks

Yalçın, Sercan; Erdem, Ebubekir

doi:10.1016/j.isatra.2021.06.027

Cited by 15 publications

(11 citation statements)

References 45 publications

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“…To deal with burst traffic, an adaptive mobility model based on detecting bursts of traffic was proposed in [19]. The authors suggest dividing the network into clusters and selecting a head for every cluster based on the nodes' energy levels within a cluster.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Sink Mobility Models for Wireless Sensor Networks: A Comparative Study

Abu Taleb,

Abu Al-Haija,

Odeh

2023

Int. J. Interact. Mob. Technol.

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Wireless sensor networks (WSNs), deployed in the area of interest to gather data unattended, comprise numerous tiny, ponderous, and battery-operated sensor nodes (SNs). Numerous research publications presented strategies for extending the lifespan and performance of wireless sensor networks because SNs lifetime depends on limited battery life. One strategy for enhancing the performance of wireless sensor networks is to deploy an energy-rich sink capable of mobility to gather data sensed by stationary SNs. Therefore, several mobility models (MMs) were suggested. The primary objective of this investigation is to compare the effectiveness of wireless sensor networks using two MMs for mobile sinks (MSs): Kohonen’s self-organizing map-based model and the genetic algorithm-based model, in order to find the most suitable conditions under which each one of them can be used. As a result, network performance is investigated using the NS-2 simulator under various scenarios and MS speeds. Additionally, throughput, packet delivery ratio (PDR), and end-to-end (E2E) delay are the metrics used to analyze performance. Finally, messages are forwarded from their sources to the MS using the AODV routing protocol. The results show that the Kohonen-based model is suitable for small networks with moderate speeds of the mobile sink. On the other hand, the genetic algorithm-based model is suitable to be used with medium-sized networks with low speeds of the mobile sink.

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Section: Related Workmentioning

confidence: 99%

Performance Analysis of Sink Mobility Models for Wireless Sensor Networks: A Comparative Study

Abu Taleb,

Abu Al-Haija,

Odeh

2023

Int. J. Interact. Mob. Technol.

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“…Also, some previous works like References 4,25, and 43‐47 are grouped into the second category. In addition, the ideas of References 5,6,12 27,35,48‐51 and the ideas of References 7,8 are formed based on the methods belong to the third and fourth categories, respectively. In Reference 38 the combination of meta‐heuristic and fuzzy algorithms is applied.…”

Section: Related Workmentioning

confidence: 99%

“…While some of the previous works like References 5,25,26,35 deal with single‐sink mobility problem, the others like References 9,50 and 67‐69 deal with multisink mobility problem.…”

Section: Related Workmentioning

confidence: 99%

An energy‐aware and lightweight routing algorithm using clustering and mobile sinks in wireless sensor networks

Adabi

Mohammadifar

Nezhad

2022

Trans Emerging Tel Tech

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A wireless sensor network (WSN) consists of a number of small sensors which are powered by low-cost irreplaceable batteries. Therefore, one of the main issues in WSN design is to prolong the battery life of the individual sensors. Clustering and utilization of mobile sinks in collaboration with base station (BS) are two common solutions to address energy consumption challenge. Based on these solutions, a new algorithm in name "Energy-aware Routing algorithm using Clustering and Mobile Sinks (ERCMS)" is proposed in this article. The distinguishing features of ERCMS are as follows: (1) a geometric pattern is applied to divide entire network area into some parts and make cluster in each part. This pattern adjusts the cluster size based on the distance from the sink. Thus, hotspot problem is expected to be reduced, (2) computational load is distributed over sensors, (3) length of messages are controlled and each message is defined in the format with minimum required information, (4) simple mathematics approaches those impose lightweight computations are adopted, and (5) accuracy of mobile sink dispatching procedure is improved in critical conditions of the network. The simulation results show that ERCMS outperforms DFCR, MDFCR, and TEO-MCRP in terms of consumed energy, delivery ratio, delay, routing overhead, and throughput.

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“…Sensor nodes gather environmental information and transmit it to a sink or base station via direct or multi-hop communications [3]. A sink node is a mobile or stationary node that connects the WSN to a communication network [4]. WSNs provide a broad range of uses to several industries, including agriculture, tsunami detection, environmental and ecosystem monitoring, ocean boarding alarms, and smart Int J Elec & Comp Eng ISSN: 2088-8708  Energy efficient data transmission using multiobjective improved remora … (Anil Kumar Jemla Naik) 6477 grids [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

Energy efficient data transmission using multiobjective improved remora optimization algorithm for wireless sensor network with mobile sink

Jemla Naik,

Parameswarappa,

Ramachandra

2023

IJECE

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<span lang="EN-US">A wireless sensor network (WSN) is a collection of nodes fitted with small sensors and transceiver elements. Energy consumption, data loss, and transmission delays are the major drawback of creating mobile sinks. For instance, battery life and data latency might result in node isolation, which breaks the link between nodes in the network. These issues have been avoided by means of mobile data sinks, which move between nodes with connection issues. Therefore, energy aware multiobjective improved remora optimization algorithm and multiobjective ant colony optimization (EA-MIROA-MACO) is proposed in this research to improve the WSN’s energy efficiency by eliminating node isolation issue. MIRO is utilized to pick the optimal cluster heads (CHs), while multiobjective ant colony optimization (MACO) is employed to find the path through the CHs. The EA-MIROA-MACO aims to optimize energy consumption in nodes and enhance data transmission within a WSN. The analysis of EA-MIROA-MACO’s performance is conducted by considering the number of alive along with dead nodes, average residual energy, and network lifespan. The EA-MIROA-MACO is compared with traditional approaches such as mobile sink and fuzzy based relay node routing (MSFBRR) protocol as well as hybrid neural network (HNN). The EA-MIROA-MACO demonstrates a higher number of alive nodes, specifically 192, over the MSFBRR and HNN for 2,000 rounds.</span>

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BTA-MM: Burst traffic awareness-based adaptive mobility model with mobile sinks for heterogeneous wireless sensor networks

Cited by 15 publications

References 45 publications

Performance Analysis of Sink Mobility Models for Wireless Sensor Networks: A Comparative Study

Performance Analysis of Sink Mobility Models for Wireless Sensor Networks: A Comparative Study

An energy‐aware and lightweight routing algorithm using clustering and mobile sinks in wireless sensor networks

Energy efficient data transmission using multiobjective improved remora optimization algorithm for wireless sensor network with mobile sink

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