an efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. the implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. according to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses fuzzy inference systems to select cluster head. the alg...

the effect of welding residual stresses that was created in thin infill plate of steel plate shear wall system during constructional processes was studied in this research. residual stresses in a welded structure is the result of the non-uniform expansion and contraction and plastic deformation of the weld and surrounding base metal due to heating and cooling cycle, during welding process, this...

The Maximum Residual Energy Path (MREP) routing has been shown an effective routing scheme for energy conservation in a battery wireless network. Past studies on MREP are based on the assumption that the transmitting node consumes power, but the receiving node does not. This assumption is false if acknowledgement is required, or if the ad hoc network has deployed the energy-conservation mode (s...

Stepped spillways are designed to increase the rate of energy dissipation on the chute and to reduce the size of the downstream energy dissipator. It is essential to predict accurately the turbulent dissipation above the steps for large discharges per unit width corresponding to the skimming flow regime. New measurements were conducted in a large facility with a channel slope of 21.8o and a ste...

A crucial issue in the management of sensor networks is the continuous monitoring of residual energy level of the sensors in the network. With the large number of sensors in a 10 typical network, the energy monitoring process can itself be very energy intensive. In this article, we propose a hierarchical approach to construct a continuous energy map of a sensor network. Our method consists of a...

clustering is an effective approach for managing nodes in wireless sensor network (wsn). a new method of clustering mechanism with using binary gravitational search algorithm (bgsa) in wsn, is proposed in this paper to improve the energy consumption of the sensor nodes.reducing the energy consumption of sensors in wsnsis the objective of this paper that is through selecting thesub optimum senso...

This paper presents an energy-efficient loadbalancing algorithm for Wireless Sensor Networks. The algorithm specifies that only the nodes which have residual energy above a threshold can take part in routing, and that residual energy is to be updated at the highest opportunistic rate supported by the network. The algorithm was tested on and showed improvements to hierarchical data aggregation a...

An efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. The implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. According to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses Fuzzy Inference Systems to select cluster head. The alg...

It is important to have continuously updated information about network resources and application activities in a wireless sensor network after it is deployed in an unpredictable environment. Such information can help notify users of resource depletion or abnormal activities. However, constrainted by the low user-to-node ratio, limited energy and bandwidth resources, it is infeasible to extract ...

Energy harvesting can be leveraged by Wireless Sensor Network (WSN) to address its energy-scarcity problem, giving rise to Energy Harvesting Wireless Sensor Network (EHWSN). Residual energy balancing of sensors is the key issue to avoid sensors’ failure and promise the network function of EHWSN. In this paper, by exploiting the sensors around the source and sink as relays, we propose a distribu...