Leach was the first most Routing Protocol used clustering concept in wireless sensor networks. Leach algorithmre-clustering process play vital role to gather data in cycles known as round. During each round a specific percentage of total nodes are elected as cluster heads (CHs). Each node get chance to become CH according to their probability in particular round. It is possible that not a singl...

Clustering is an effective approach for managing nodes in Wireless Sensor Network (WSN). A new method of clustering mechanism with using Binary Gravitational Search Algorithm (BGSA) in WSN, is proposed in this paper to improve the energy consumption of the sensor nodes. Reducing the energy consumption of sensors in WSNs is the objective of this paper that is through selecting the sub optimum se...

HIGHLIGHTS MOSPO-CMR technique intends to effectively choose cluster heads (CHs) and derive optimal routes BS. The initially performs constructionprocess by the election of CHs using three variables namely Residual energy (RES), distance BS (DIST), Node Degree (NDEG). Besides, derives an objective function involving two such as RES DIST determine destination. In order demonstrate enhanced outco...

The promising vision of information-centric networking (ICN) and its realization, named data (NDN), has attracted extensive attention in recent years the context Internet Things (IoT) wireless sensor networks (WSNs). However, a comprehensive NDN/ICN-based architectural design for WSNs, including specially tailored naming schemes forwarding mechanisms, yet to be explored. In this article, we pre...

Data-gathering wireless sensor networks (WSNs) are operated unattended over long time horizons to collect data in several applications such as those in climate monitoring and a variety of ecological studies. Typically, sensors have limited energy (e.g., an on-board battery) and are subject to the elements in the terrain. In-network operations, which largely involve periodically changing network...

Reinforcement Learning (RL) has emerged as a promising approach for improving the performance of Wireless Sensor Networks (WSNs). The Q-learning technique is one RL in which algorithm continuously learns by interacting with environment, gathering information to take certain actions. It maximizes determining optimal result from that environment. In this paper, we propose data based on named Boun...

Recently Wireless Sensor Networks (WSNs) has turned into a popular matter of research area, because of its flexibility and dynamic nature. It is proven that the clustering technique, as a multi objective optimization, is the most effective solution to have minimum energy consumption. The goal of the clustering technique is to divide network sensors into clusters each of which has a cluster-head...

In Wireless Multimedia Sensor Networks (WMSNs), nodes capable of retrieving video, audio, images, and small scale sensor data, tend to generate immense traffic various types. The energy-efficient transmission such a vast amount heterogeneous multimedia content while simultaneously ensuring the quality service optimal energy consumption is indispensable. Therefore, we propose Power-Efficient Thi...

In wireless sensor networks (WSN), conserving energy and increasing lifetime of the network are a critical issue that has been addressed by substantial research works. The clustering technique has been proven particularly energy-efficient in WSN. The nodes form groups (clusters) that include one cluster head and member clusters. Cluster heads (CHs) are able to process, filter, gather the data s...

Wireless Sensor Networks (WSNs) have had remarkable advances in the past couple of decades due to their fast growth and flexibility. In order to supervise an area, hundreds or thousands of sensors can be established and collaborate with each other in the environment. The sensors’ sensed and collected data can be delivered to the base station. Energy optimisation is crucial in WSN’s efficiency. ...