Coverage Optimization Strategy for WSN based on Energy-aware

Abstract

In order to optimize the wireless sensor network coverage, this paper designs a coverage optimization strategy for wireless sensor network (EACS) based on energy-aware. Under the assumption that the geographic positions of sensor nodes are available, the proposed strategy consists of energy-aware and network coverage adjustment. It is restricted to conditions such as path loss, residual capacity and monitored area and according to awareness ability of sensors, it would adjust the monitored area, repair network hole and kick out the redundant coverage. The purpose is to balance the energy distribution of working nodes, reduce the number of "dead" nodes and balance network energy consumption. As a result, the network lifetime is expanded. Simulation results show that: EACS effectively reduces the number of working nodes, improves network coverage, lowers network energy consumption while ensuring the wireless sensor network coverage and connectivity, so as to balance network energy consumption.

Evolving Fuzzy Models for Automated Translation

“…The future research will be focused on the development of neural network models and other appropriate applications with various optimization approaches [41][42][43][44][45][46][47][48][49][50] included in the identification algorithm. The development of fuzzy models for the translation from French to English will require modifications in the structure of the identification algorithms.…”

Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption

“…In order to verify the performance of this method, protocols such as MREBR (Maximum Residual Energy Based Routing), MEC and SOR were selected to compare with the UCEEC protocol. According to the simulation settings of these comparison protocols [3,4,[10][11][12][13]25] , the network setting is listed in Table 2.…”