A Review on Hierarchical Unequal Clustering Based Protocols in Wireless Sensor Network

Wireless Sensor Networks (WSNs) are drawing attention of various researchers in the area of wireless sensing technology. The one of the major constraint on WSNs is the limited battery resources. Due to this, the routing among sensor nodes plays a vital role in reducing the energy consumption of nodes. Clustering not only provides scalability to the network, but it also balances the energy consumption among nodes according to their roles in the cluster. Equal clustering creates the problem of Hot-Spot among those nodes that have to relay the data from the farther clusters. In this paper we have studied various routing protocols which follow unequal clustering. It is found after studying these protocols that unequal clustering help tremendously in saving the energy and avoids the problem of Hot-Spot

Energy Efficient data collection through Double Cluster Heads in Wireless Sensor Network

Wireless sensor network is the revolution in the sensors applicability in the modern era. Almost every sector is influenced by the wireless sensor networks. The one of the major constraint in the WSN is the limited battery resources. The efficient routing techniques have to be developed to take concern of the network lifetime. There have been various routing strategies aiming to enhance network lifetime. In this paper, we have proposed the two levels of Cluster Heads (CHs) in each cluster to make the data forwarding much efficient towards the Base Station (BS). By employing two cluster heads, the load of single CH is distributed with the other one. Main CH (MCH) will collect the data from the assistant CH (ACH) and then it will be forwarded to the BS or to the other MCH. Results in MATLAB shows that the proposed protocol has given the much enlarged network lifetime

An Improved Energy-Aware Distributed Unequal Clustering Protocol using BBO Algorithm for Heterogeneous Load Balancing

With the rapid extension of IoT-based applications various distinct challenges are emerging in this area Among these concerns the node s energy efficiency has a special importance since it can directly affect the functionality of IoT-Based applications By considering data transmission as the most energy-consuming task in IoT networks clustering has been proposed to reduce the communication distance and ultimately overcome node energy wastage However cluster head selection as a non-deterministic polynomial-time hard problem will be challenging notably by considering node s heterogeneity and real-world IoT network constraints which usually have conflicts with each other Due to the existence of conflict among the main system parameters various solutions have been proposed in recent years that each of which only considered a few real-world limitations and parameter