This paper aims to establish an Arduino and IoT-based Hierarchical Multi-Agent System (HMAS) for management of loads’ side with incentive approach in a micro-grid. In this study, the performance of the proposed algorithm in a micro-grid has been verified. The micro-grid contains a battery energy storage system (BESS) and different types of loads known as residential consumer (RC), commercial co...

1389-1286/$ see front matter 2011 Elsevier B.V doi:10.1016/j.comnet.2011.06.012 ⇑ Corresponding author. E-mail addresses: [email protected] [email protected] (X. Pérez-Costa), seba (S. Sallent-Ribes). 1 In this paper we refer indistinctly to the set of from the work of the IEEE 802.11 group as Wi-Fi or Wi-Fi Direct is a new technology defined by the Wi-Fi Alliance in order to enable efficie...

This paper focuses on how the petri net models can be exploited by markov algorithm with adaboost algorithm for performance evaluation of Wi-fi local area network. We study a real world application and demonstrate the benefits in terms of modeling power and expressiveness that Wi-fi technology, EQPN model and Markov algorithm with Adaboosting algorithm provide over conventional modeling paradig...

We present an efficient algorithm that can distinguish the keystream of WPA from that of a generic instance of RC4 with a packet complexity of O(N), where N denotes the size of the internal permutation of RC4. In practice, our distinguisher requires approximately 2 packets; thus making it the best known distinguisher of WPA to date. This is a significantly improved distinguisher than the previo...

3GPP LWIP Release 13 technology and its prestandard version Wi-Fi Boost have recently emerged as an efficient LTE and Wi-Fi integration at the IP layer, allowing uplink on LTE and downlink on Wi-Fi. This solves all the contention problems of Wi-Fi and allows an optimum usage of the unlicensed band for downlink. In this paper, we present a new feature of Wi-Fi Boost, its radio link management, w...

We show that on the basis of preserving monotonicity an improved algorithm of image compression and reconstruction can be proposed. The algorithm is based on partitioning the range of the function fI which corresponds to an image I.

n optimization problem involves fi nding the best value of an objective function or fi gure of merit—the value that optimizes the function. If the set of options is fi nite in number, then the problem is discrete. If the value of the objective function is uncertain because of measurement noise or some other source of random variation, the problem is stochastic. Mathematically, the discrete opti...