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In this work, ray based simulation approach has been used for estimating the performance of WSN with MIMO and SISO techniques. The ray based simulation should produce more accurate results than model based simulation approach because it is more close to real life environment. In addition to simulation, Markov model based analytical approach has also been adopted. The transition probabilities among...
WSN network is energy constrained, the energy consumption of the network has stringent limited. During design routing protocols, Energy issues is important factors to be considered. Without increasing send energy of nodes, MIMO technology can make use of the cumulative energy of the sending node to increase the sending signal to noise ratio, thus reducing the error rate and improve the reliability...
In this paper, we specially propose some improved packet-level aggregation (PA) mechanisms which can enhance energy efficiency in WSNs. Firstly, the PA models are classified as SISO (single input single output), MISO (multiple input single output) and MIMO (multiple input multiple output) in WSNs. And then, motivated by SISO and MISO, we improve the PA mechanism by proper packet size solution for...
Energy efficiency is a considerable criterion in design of wireless sensor networks. MIMO technology has the potential of supporting a higher data rate under a lower power budget and bit-error-rate, which makes cooperative MIMO in WSNs a popular research topic. This paper investigates a cluster-based time division cooperative MIMO communication system for WSNs. An optimum algorithm for the power and...
Cooperative Multi-In Multi-Out (MIMO) schemes can reduce both transmission energy and latency in distributed wireless sensor networks (WSNs). When circuit energy is considered in such networks, the total energy consumed as the number of cooperating nodes increases becomes of particular interest. In addition, most of the previous works focused only on space-time-block-code (STBC) schemes and ignore...
A theoretical model was developed to estimate effect of the mutual coupling on the energy requirement of a multiple-input multiple-output (MIMO) based wireless sensor network (WSN). Clustered channel modeling with Rician fading distribution is assumed to include the effect of the line-of-sight (LOS) ray paths. The effect of propagation environments is included in the analysis by assuming a two-slope...
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