The sensable city: A survey on the deployment and management for smart city monitoring
In last two decades, various monitoring systems have been designed and deployed in urban
environments, toward the realization of the so called smart cities. Such systems are based …
environments, toward the realization of the so called smart cities. Such systems are based …
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 …
Machine learning algorithms for wireless sensor networks: A survey
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …
time applications because of its size, cost-effective and easily deployable nature. Due to …
Evaluating critical security issues of the IoT world: Present and future challenges
Social Internet of Things (SIoT) is a new paradigm where Internet of Things (IoT) merges
with social networks, allowing people and devices to interact, and facilitating information …
with social networks, allowing people and devices to interact, and facilitating information …
Q-learning-based data-aggregation-aware energy-efficient routing protocol for wireless sensor networks
WK Yun, SJ Yoo - IEEE Access, 2021 - ieeexplore.ieee.org
The energy consumption of the routing protocol can affect the lifetime of a wireless sensor
network (WSN) because tiny sensor nodes are usually difficult to recharge after they are …
network (WSN) because tiny sensor nodes are usually difficult to recharge after they are …
A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks
Clustering has been proven to be one of the most efficient techniques for saving energy of
wireless sensor networks (WSNs). However, in a hierarchical cluster based WSN, cluster …
wireless sensor networks (WSNs). However, in a hierarchical cluster based WSN, cluster …
Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities
Energy conservation is the primary task in Wireless Sensor Networks (WSNs) as these tiny
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
Data aggregation in wireless sensor networks: Previous research, current status and future directions
S Randhawa, S Jain - Wireless Personal Communications, 2017 - Springer
Wireless sensor networks (WSNs) consist of large number of small sized sensor nodes,
whose main task is to sense the desired phenomena in a particular region of interest. These …
whose main task is to sense the desired phenomena in a particular region of interest. These …
High fidelity data reduction for big data security dependency analyses
Intrusive multi-step attacks, such as Advanced Persistent Threat (APT) attacks, have plagued
enterprises with significant financial losses and are the top reason for enterprises to …
enterprises with significant financial losses and are the top reason for enterprises to …
Energy harvesting and battery power based routing in wireless sensor networks
Wireless sensor networks (WSNs) are a collection of several small and inexpensive battery-
powered nodes, commonly used to monitor regions of interests and to collect data from the …
powered nodes, commonly used to monitor regions of interests and to collect data from the …