Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …
J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …
engineers, science, and technology communities. This attraction is due to their broad …
A survey on multipath routing protocols for QoS assurances in real-time wireless multimedia sensor networks
The vision of wireless multimedia sensor networks (WMSNs) is to provide real-time
multimedia applications using wireless sensors deployed for long-term usage. Quality of …
multimedia applications using wireless sensors deployed for long-term usage. Quality of …
Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach
Energy efficient clustering and routing are two well known optimization problems which have
been studied widely to extend lifetime of wireless sensor networks (WSNs). This paper …
been studied widely to extend lifetime of wireless sensor networks (WSNs). This paper …
An industrial perspective on wireless sensor networks—A survey of requirements, protocols, and challenges
Wireless Sensor Networks (WSNs) are applicable in numerous domains, including industrial
automation where WSNs may be used for monitoring and control of industrial plants and …
automation where WSNs may be used for monitoring and control of industrial plants and …
M2M service platforms: Survey, issues, and enabling technologies
Machine-to-Machine (M2M) refers to technologies with various applications. In order to
provide the vision and goals of M2M, an M2M ecosystem with a service platform must be …
provide the vision and goals of M2M, an M2M ecosystem with a service platform must be …
A novel differential evolution based clustering algorithm for wireless sensor networks
Clustering is an efficient topology control method which balances the traffic load of the
sensor nodes and improves the overall scalability and the life time of the wireless sensor …
sensor nodes and improves the overall scalability and the life time of the wireless sensor …
Genetic algorithm approach for k-coverage and m-connected node placement in target based wireless sensor networks
In target based wireless sensor networks (WSNs), coverage and connectivity are the two
most important issues for guaranteed data forwarding from each target to a remote base …
most important issues for guaranteed data forwarding from each target to a remote base …
Particle swarm optimization-based unequal and fault tolerant clustering protocol for wireless sensor networks
T Kaur, D Kumar - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Clustering is one of most efficient energy saving techniques for maximizing network lifetime
in wireless sensor networks. In the multi-hop approach, cluster heads (CHs) close to the …
in wireless sensor networks. In the multi-hop approach, cluster heads (CHs) close to the …
A comprehensive review on energy harvesting MAC protocols in WSNs: Challenges and tradeoffs
Nowadays, wireless sensor networks (WSNs) are broadly used to set up distributed
monitoring infrastructures in self-healing, self-configuring, and self-managing systems. They …
monitoring infrastructures in self-healing, self-configuring, and self-managing systems. They …
Maximizing coverage and maintaining connectivity in WSN and decentralized IoT: an efficient metaheuristic-based method for environment-aware node deployment
The node deployment problem is a non-deterministic polynomial time (NP-hard). This study
proposes a new and efficient method to solve this problem without the need for predefined …
proposes a new and efficient method to solve this problem without the need for predefined …