Multi-strategy enhanced grey wolf algorithm for obstacle-aware WSNs coverage optimization

Wang, Zhendong; Huang, Lili; Yang, Shuxin; Luo, Xiao; He, Daojing; Chan, Sammy

doi:10.1016/j.adhoc.2023.103308

Cited by 9 publications

(1 citation statement)

References 39 publications

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“…Extensive debates on data-driven techniques for improving municipal services have been sparked by the rising urbanization and digital transformation of cities. The present literature analysis delves into significant themes and findings from previous studies, demonstrating the pivotal function of data-driven dynamic urban communication in augmenting the efficacy and efficiency of important municipal services [18]- [24].…”

Section: Review Of Literaturementioning

confidence: 90%

Optimizing City Services through Data-Driven Dynamic Urban Communication: A Communication Efficiency Test

Rinat,

Ghalwan,

Kaur

et al. 2024

BIO Web Conf.

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The purpose of this research is to examine how data-driven dynamic urban communication affects the effectiveness and optimization of vital municipal services in a variety of contexts. Interestingly, waste management IoT sensors have an efficiency score of 9, which is remarkable and indicates the promise of data-driven approaches in this industry. An impressive 4.3 user satisfaction rating highlights how well these technologies are received. Additionally, data-driven communication techniques provide affordable options, as seen by their $2.5 service request cost, which highlights the possibility of more efficient resource allocation. This study offers strong proof that data-driven communication benefits both municipal service providers and people by increasing service consumption and lowering response times to around 5.2 minutes.

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Section: Review Of Literaturementioning

confidence: 90%

Optimizing City Services through Data-Driven Dynamic Urban Communication: A Communication Efficiency Test

Rinat,

Ghalwan,

Kaur

et al. 2024

BIO Web Conf.

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An enhanced bio‐inspired energy‐efficient localization routing for mobile wireless sensor network

Tumula,

Rama Devi,

Ramadevi

et al. 2024

Int J Communication

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SummaryEnvironmental disasters such as earthquakes, tsunamis, floods, and landslides disrupt natural resources, human casualties, and so on. Early warning and alert of such events will help for preparedness to avoid human and economic causalities. Managing a disaster or emergency scenario is a difficult endeavor. These episodes of mass devastation, whether caused by natural disasters or man‐made disasters, result in massive losses of money, property, and lives as a result of inadequate response by the government and management authorities. As a result, actions must be taken to avoid these circumstances from occurring by discovering the causes of these catastrophes in advance and providing swift rescue procedures once the crisis happens. In a disaster situation, communication plays a vital role, and a lot of people turn towards it as a source of information conveyance/delivery for controlling the situation. Even these communication networks are damaged and incur tremendous losses during disasters. All the communication networks, including mobile wireless sensor networks (WSNs) deployed for communication, also suffer huge damage and face many challenges during disasters. Nature appears to deal with these issues well. WSN is inspired by several biological systems and processes that have intrinsically attractive properties such as adaptation, self‐organization, and self‐healing. In this paper, we proposed an enhanced bio‐inspired energy‐efficient localization (EBEEL) routing for Mobile WSN. The main focus of the proposed EBEEL algorithm is to overcome the challenges faced by peer‐existing routing protocols such as data aggregation, limited bandwidth, scalability, data redundancy, energy consumption, packet drops, load balancing, and Quality of Service (QoS).

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DEGWO: a decision-enhanced Grey Wolf optimizer

Yang,

2024

Soft Comput

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Multi-strategy enhanced grey wolf algorithm for obstacle-aware WSNs coverage optimization

Cited by 9 publications

References 39 publications

Optimizing City Services through Data-Driven Dynamic Urban Communication: A Communication Efficiency Test

Optimizing City Services through Data-Driven Dynamic Urban Communication: A Communication Efficiency Test

An enhanced bio‐inspired energy‐efficient localization routing for mobile wireless sensor network

DEGWO: a decision-enhanced Grey Wolf optimizer

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