Performance evaluation of two-fuzzy based cluster head selection systems for wireless sensor networks

Sensor networks supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities are emerging as a critically important computer class that enable novel and low cost applications. There are many fundamental problems that sensor networks research will have to address in order to ensure a reasonable degree of cost and system quality. Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network’s communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In this paper, in order to deal with this problem, we propose two fuzzy-based systems for cluster head selection in sensor networks. We call these systems: FCHS System1 and FCHS System2. We evaluate the proposed systems by simulations and have shown that FCHS System2 make a good selection of the cluster head compared with FCHS System1 and another previous system.Peer ReviewedPostprint (published version

Explosive Percolation: Unusual Transitions of a Simple Model

In this paper we review the recent advances on explosive percolation, a very sharp phase transition first observed by Achlioptas et al. (Science, 2009). There a simple model was proposed, which changed slightly the classical percolation process so that the emergence of the spanning cluster is delayed. This slight modification turns out to have a great impact on the percolation phase transition. The resulting transition is so sharp that it was termed explosive, and it was at first considered to be discontinuous. This surprising fact stimulated considerable interest in "Achlioptas processes". Later work, however, showed that the transition is continuous (at least for Achlioptas processes on Erdos networks), but with very unusual finite size scaling. We present a review of the field, indicate open "problems" and propose directions for future research.Comment: 27 pages, 4 figures, Review pape

An intelligent fuzzy-based cluster head selection system for wireless sensor networks and its performance evaluation

Sensor networks supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities are emerging as a critically important computer class that enable novel and low cost applications. There are many fundamental problems that sensor networks research will have to address in order to ensure a reasonable degree of cost and system quality. Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In our previous work, in order to deal with this problem, we proposed a power reduction algorithm for sensor networks based on fuzzy logic and number of neighbor nodes. We call this algorithm F3N. In this paper, we implement a simulation system for clustering algorithms in sensor networks. We evaluate LEACH and F3N by some simulation results. Presently, we have implemented LEACH algorithm in NS-2. However, F3N is implemented in MATLAB. We are working to implement also F3N system in NS-2 in order to compare their performance.Peer ReviewedPostprint (published version

Energy Efficient Routing Protocol for Heterogeneous Wireless Sensor Networks

Due to the sensibility of power issue in wireless sensor networks and the limitations of power sources, preserving energy issue prepossess most recent advances researches in this field. Routing protocols have considerable space in those researches, and the hierarchal algorithms like LEACH are a common kind of important techniques used to decrease energy consumption in sensor networks. It increases the network scalability and prolonging network lifetime. Hierarchal based energy efficient routing protocols should be designed to adapt with characteristics of heterogeneous wireless sensor networks. In this paper a new LEACH based clustering scheme for heterogeneous wireless sensor networks proposed, which is called master, advance, and normal nodes LEACH (MAN-LEACH) deal with heterogeneity and attempt to remedy some original LEACH drawbacks. In MAN-LEACH, the cluster heads are selected by take in consideration the ratio between residual energy of each node in network after certain round and the average energy of the network. So the chances to become a cluster head for nodes are differ according to the residual energy they have. Also MAN-LEACH introduced multi levels of amplifying energy to transmit packets through network, the lowest level used to transmission between cluster members and cluster head, the middle to transmit between cluster heads and highest level used to transmit between cluster heads and base station. The performance of MAN-LEACH evaluated against three other protocol approaches LEACH, MOD-LEACH, DEEC, and simulation results show that MAN-LEACH gives longer lifetime, highest average residual energy rate, and highest rate in transferring packets to base statio

Research Paper on Firefly Optimized Leach to Reduce Energy Consumption

The recent advances in information and communication technologies enable fast development and practical applications of wireless sensor networks (WSNs). The operation of the WSNs including sensing and communication tasks needs to be planned properly in order to achieve the application-specific objectives. The WSNs consist of a number of sensor nodes equipped with microprocessor, wireless transceiver, sensing components and energy source. These sensor nodes operate as autonomous devices to perform different tasks including sensing, communication and data processing. We made this protocol more efficient by using optimization algorithm to choose the cluster head optimally amongst all nodes in the cluster. A new evolutionary firefly Algorithm (FA) is used which is advanced than efficient PSO algorithm and more fast converging and accurate algorithm. We optimised the cluster head based on energy and distance from other neighboring nodes by this FA algorithm and achieves high residual energy than PSO optimised LEACH and conventional LEACH protocol for the same network parameters