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  • International Journal Advanced Network Monitoring Controls

 

Research Article

A Fuzzy Based Predictive Cluster Head Selection Scheme for Wireless Sensor Networks

Clustering, an energy efficient approach is used in Wireless Sensor Network. Clustering involves cluster formation and Cluster Head Selection. As the Cluster Head is involved in carrying out the entire communication, a high energy node has to be selected as Cluster Head. In this paper, a novel predictive Fuzzy based Cluster Head selection algorithm is proposed. The proposal suggests a new input parameter, Rate of recurrent Communication apart from the standard parameters namely the Residual

Hemavathi Natarajan, Sudha Selvara

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–8

Article

OPTIMAL CLUSTER HEAD NUMBER BASED ON ENTROY FOR DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

In-network data aggregation plays an important role on energy consumption from the point of reducing the amount of communication in cluster-based wireless sensor networks. The selection of cluster heads is usually based on two criteria which are the number of cluster heads network needed and the times of every node serving as the cluster head. Too much or too little cluster head number will shorten the network lifetime for the energy premature depletion of some sensor nodes, so it has a great

Mingxin Yang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1935–1955

Article

Research on Balanced Energy Consumption of Wireless Sensor Network Nodes Based on Clustering Algorithm

A multi-cluster-head based clustering routing algorithm is researched and realized in order to achieve better balance the energy consumption of wireless sensor network nodes as well as promote the stability and extend the service life of the network. By taking cluster as the basic unit, it divides the wireless sensor network into multiple clusters, each of which includes a main cluster head node, an assistant cluster head node, a cluster management node and several ordinary nodes. The article

Jie Huang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 15–19

Research Article

CLUSTER HEAD ELECTION MECHANISM-BASED ON FUZZY LOGIC (CHEF) WITH TDMA IN WSN

the network, even the cluster head is elected according to check their residual energy considerable amount of energy will drain automatically to overcome this drawback by considering the protocol a fuzzy logic approach is used to elect the cluster head based on three descriptors-energy, centrality & distance and second CH is elected according to TDMA to overcome the data lost during energy drain occur in the CH .NS-2 simulation shows that proposed protocol provides higher energy efficiency. This

G Vijayalakshmi, M.Anto Bennet, P. Shenbagavalli, M. Vijayalakshmi, S. Saranya

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 395–413

Article

SEFP: A NEW ROUTING APPROACH USING FUZZY LOGIC FOR CLUSTERED HETEROGENEOUS WIRELESS SENSOR NETWORKS

with the maximum chance value becomes a cluster head (CH) based in three fuzzy parameters such as residual energy of each sensor node, closeness to base station (BS), and sum of distances between particular sensor node and other sensor nodes (area distance). The Simulation results of heterogeneous WSNs shows that our approach using fuzzy logic system always preserves more energy as compared to well-known protocols such as LEACH and SEP. additionally, we found that our approach SEFP outperforms

hassan EL ALAMI, Abdellah NAJID

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2286–2306

research-article

Performance enhancement of in-network probabilistic aggregation (PEPA) for vehicular ad-hoc networks

security (Poongodi et al., 2019). Still, there is a scope to provide probabilistic correctness of the aggregated packet. Moreover, the authenticity of the aggregated packet remains an issue that needs urgent addressing. Once an aggregate of the original information is created, it is difficult to check whether the packet created by the cluster head is undoubtedly the correct one. Hence, whenever aggregated information is created, it must be ensured for its probable correctness, and the validity of the

Rajeev Kumar, Dilip Kumar, Dinesh Kumar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–9

Research Article

Low Energy Adaptive Routing Hierarchy Based on Differential Evolution

Xiangyuan Yin, Zhihao Ling, Liping Guan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 523–547

Article

DISTRIBUTED TARGET LOCALIZATION AND TRACKING WITH WIRELESS PYROELECTRIC SENSOR NETWORKS

degree of freedom (DOF) spatial partition; then the localization algorithm is proposed to coordinate multiple sensors nodes to achieve two DOF spatial partitions. To effectively solve the problem of WSN energy imbalance, a strategy of neighbor table multicast and an electoral method of the dynamic cluster head based on the biggest energy are presented in the distributed wireless sensor networks. The experiments show that the method proposed here has the advantages in high accuracy and strong anti

Baihua Shen, Guoli Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1400–1418

Article

A NEW UNEQUAL CLUSTERING ALGORITHM USING ENERGY-BALANCED AREA PARTITIONING FOR WIRELESS SENSOR NETWORKS

this paper, we propose a new unequal clustering algorithm based on the partitioned circles network model, having better accuracy in the energy consumption analysis than the rectangular one. The superiority of the algorithm we propose is cluster parameters, by which the region width and cluster-head probability, are obtained with a complete energy consumption analysis. Through the simulation evaluation, the algorithm brings the better performance than the equal clustering.

Amin Suharjono, Wirawan, Gamantyo Hendrantoro

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1808–1829

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