What is clustering in wireless sensor networks?

What is clustering in wireless sensor networks?

Clustering is one of the important methods for prolonging the network lifetime in wireless sensor networks (WSNs). It involves grouping of sensor nodes into clusters and electing cluster heads (CHs) for all the clusters. A major challenge in WSNs is to select appropriate cluster heads.

What are the advantages of clustering in WSN?

Various advantages of cluster-based WSN are energy efficiency, better network communication, efficient topology management, minimized delay, and so forth. Consequently, clustering has become a key research area in WSN.

What are the components of wireless sensor networks?

The components of WSN system are sensor node, rely node, actor node, cluster head, gateway and base station.

Can a wireless sensor network be embedded in a physical environment?

Wireless Sensor Networks (WSN) • Even though wireless sensors has limited resources in memory, computation power, bandwidth, and energy. • With small physical size. It Can be embedded in the physical environment. • Self-organizing multi-hop ad-doc networks 10/6/2015 4GNIT (MTECH)_WSN

What makes up a wireless sensor network ( WSNS )?

What are wireless sensor networks (WSNs)? Large number of heterogeneous Sensor node devices spread over a large field. Wireless sensing + Data Networking. Smart Sensor Nodes: 1. Few hundred to thousand of nodes 2. Low power devices 3. Consists of- one or more sensors, a processor, memory, a power supply, a radio and an actuator.

What are the design challenges for wireless sensor networks?

Design Challenges • Heterogeneity – The devices deployed may be of various types and need to collaborate with each other. • Distributed Processing – The algorithms need to be centralized as the processing is carried out on different nodes.

What are the factors influencing the design of WSN?

Factors Influencing WSN Design • Fault tolerance • Scalability • Production costs • Hardware constraints • Sensor network topology • Environment • Transmission media • Power Consumption – Sensing – Communication – Data processing 12 13.