Performance Evaluation of Energy Efficient Protocols in Wireless Sensor Networks

Reducing the energy utilization is an important element in the Wireless Sensor network (WSN). Many protocols have been designed for improving energy efficiency of the network. Clustering protocols have been proved to be one of the energy-efficient protocols in WSN. One of the basic and most popular protocols designed using the clustering approach is the LEACH (Low-Energy Adaptive Clustering Hierarchy).However, LEACH undergoes an issue of bad distribution of cluster heads, which is overcome by implementing a technique of selecting smart cluster head in LEACH known as SCHS (Smart Cluster Head Selection).Also another clustering protocol HEED (Hybrid Energy Efficient Distributed) which follows the principle of LEACH is considered for the study purpose. In this paper, a thorough analysis of three clustering protocols was carried out by keeping the network parameters same so as to conclude which protocol amongst the three utilizes the minimum energy and prolongs the network lifetime

Performance Comparison of Cluster-based Protocols in Wireless Sensor Networks

To reduce the energy consumption is an important topic in the Wireless Sensor network(WSN).Many protocols have been designed for improving energy efficiency of the network. Clustering protocols have been proved to be one of the energy-efficient protocols in WSN. One of the basic and most popular protocols designed using the clustering approach is the LEACH (Low-Energy Adaptive Clustering Hierarchy).However, LEACH undergoes an issue of bad distribution of cluster heads, which is overcomeby implementing a technique of selecting smart cluster headin LEACH known as SCHS (Smart Cluster Head Selection

Performance Comparison of Centralized Cooperative Spectrum Sensing Based on Voting Rules in Cognitive Radio

In this paper we focus on optimizing the spectrum sensing capability of cognitive radio network. Cognitive users are allowed to share the licensed spectrum allotted to the primary user, when kept unutilized by it. Here energy detection technique is used for spectrum sensing of the radio environment. To overcome the individual sensing difficulties, the cooperative centralized spectrum sensing is introduced where multiple cognitive radios actively participate to enhance the sensing capability of cognitive radio environment. To optimize further the centralized cooperative sensing the decision fusion rules such as AND rule, OR rule & Majority rule are implemented under various different conditions