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  • In Jour Smart Sensing And Intelligent Systems

 

Article

SELADG: SECURE ENERGY EFFICIENT LOCATION AWARE DATA GATHERING APPROACH FOR WIRELESS SENSOR NETWORKS

drop, throughput, energy consumption, residual energy and network lifetime. The proposed scheme achieves better performance than the existing EEHA and SMART schemes.

M. Roseline Juliana, S. Srinivasan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1748–1767

Research Article

Load-Balancing Enhancement by a Mobile Data Collector in Wireless Sensor Networks

sensor nodes and the base station. LBE method divides WSN to four logical partitions. Then, LBE method directs the mobile data collector to the center of each logical partition of the network with considering the density and the mean residual energy of the desired partition, i.e., the more the partition density and the mean residual energy, the more the obtaining chance of the desired partition. Simulation results that have been implemented with NS-2 software show LBE method achieves load-balancing

Ahmad Patooghy, Meisam Kamarei, Ali Farajzadeh, Fatemeh Tavakoli, Mehdi Saeidmanesh

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

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

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