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Table 10 A comparison between the articles studied on the web service in detail

From: Social Internet of Things: vision, challenges, and trends

Article Main Topic Strengths Weakness New Idea
Chen et al. [41] SOA-based IoT service composition High survivability
Minimize convergence time
Just consider a few attacks Adaptive trust-based approach
Kouicem et al. [55] Dynamic service selection for service composition Decreasing response time
Improving the success rate
Not any exact percentage for QoS metrics Optimization technique
Chen et al. [56] A social network model for service composition in IoT Improve service management
Efficient service search approach
High availability
High cost Model
Garg et al. [57] QoS-aware approach for semantic web-service Increasing user satisfaction
Improving response time and throughput
Not any functional properties considered An integrated framework
Butt et al. [58] Adaptive and context-aware service discovery Minimize service invocation delay
High scalability
Improving energy efficiency
Context-aware Service Discovery
Protocol
Wei and Jin [59] A context-awareness aspect of service discovery High adaptability to a dynamic environment
Providing an efficient service discovery process
A context-aware service discovery architecture
Xia et al. [60] Efficient Social-Like Semantic-Aware Service Discovery Mechanism High scalability
Considering adaptability
Improving search efficiency
Not considering security and privacy and keep it as a future research title SLSAa
The mechanism for Large-Scale IoT
Klauck and Kirsche [61] DNS-Based service discovery Improving interoperability
Low memory consumption
Not any large scale network considered and keep it as a future issue Service discovery standard
Shamszaman and Ali [62] Object Selection High flexibility in resource sharing Not consider the entire system in terms of QoS Platform
Baker et al. [63] Multi-cloud IoT service composition High energy-efficient service composition
Low execution time
High cost An energy-efficiency algorithm
Pallec et al. [64] Physical-Interface-Based IoT Service High availability Low scalability
Not any simulation or implementation
An IoT service composition approach
Ma et al. [65] QoS-aware and GP-based web service composition Low time
More efficiency
Not considering any simulation of development GP-based greedy algorithm
Liu et al. [100] Service Composition recommendation High performance
High accuracy
Strong adaptability
Not any exact service composition classification in the nonfunctional aspect Model
Algorithm
Mayer and Guinard [101] Semantic discovery service in web-enabled IoT Semantic Discovery
High flexibility
Not considering the heterogeneity of devices DiscoWoT interface implementation
  1. aSocial-like semantic-aware
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