During brain development, endogenously generated coordinated neuronal activity regulates the precision of developing synaptic circuits (Shatz and Stryker, 1988; Weliky and Katz, 1997). In the neonatal neocortex, a form of endogenous coordinated activity is present as locally restricted intercellular calcium waves that are mediated by gap junctions (Yuste et al., 1992). As in other neuronal and ...

In this paper, we propose a decentralized method for maximizing lifetime of data collection wireless sensor networks (WSNs) by making minimal number of nodes operate and putting other nodes in sleep. We divide a target field into multiple grids and make nodes in each grid locally achieve k-coverage. We can reduce energy consumption of WSN by minimizing the number of active nodes required for kc...

This paper proposes range-based distributed single-hop and scalable 3D node localization algorithm by using the application of Biogeography Based Optimization in anisotropic Wireless Sensor Networks (WSNs). In anisotropic networks, radiation patterns are not uniform. An anisotropic property of propagation media and heterogeneous properties (different battery backup statuses) of the devices are ...

Applications of the wireless sensor networks have widely increased in recent years. However, a lot of work has been developed to improve the performance of these wireless sensor networks. But, there are some main limitations till now due to complexity appeared for maximizing the lifetime, dealing with the noisy data, having a balance of the node loading, speeding up the transmission process of ...

Wireless Sensor Networks (WSNs) are networks of small and tiny lightweight nodes that are randomly deployed in a large area where it is not possible to monitor continuously. Some physical parameters such as pressure, temperature and relative humidity etc. are used for monitoring the same. Energy consumption is the most important and critical issues for WSNs. The paper classifies the routing pro...