Feature Selection Approaches for Optimising Music Emotion Recognition Methods

The high feature dimensionality is a challenge in music emotion recognition. There is no common consensus on a relation between audio features and emotion. The MER system uses all available features to recognize emotion; however, this is not an optimal solution since it contains irrelevant data acting as noise. In this paper, we introduce a feature selection approach to eliminate redundant features for MER. We created a Selected Feature Set (SFS) based on the feature selection algorithm (FSA) and benchmarked it by training with two models, Support Vector Regression (SVR) and Random Forest (RF) and comparing them against with using the Complete Feature Set (CFS). The result indicates that the performance of MER has improved for both Random Forest (RF) and Support Vector Regression (SVR) models by using SFS. We found using FSA can improve performance in all scenarios, and it has potential benefits for model efficiency and stability for MER task

A Low Collision and High Throughput Data Collection Mechanism for Large-Scale Super Dense Wireless Sensor Networks

Super dense wireless sensor networks (WSNs) have become popular with the development of Internet of Things (IoT), Machine-to-Machine (M2M) communications and Vehicular-to-Vehicular (V2V) networks. While highly-dense wireless networks provide efficient and sustainable solutions to collect precise environmental information, a new channel access scheme is needed to solve the channel collision problem caused by the large number of competing nodes accessing the channel simultaneously. In this paper, we propose a space-time random access method based on a directional data transmission strategy, by which collisions in the wireless channel are significantly decreased and channel utility efficiency is greatly enhanced. Simulation results show that our proposed method can decrease the packet loss rate to less than 2 % in large scale WSNs and in comparison with other channel access schemes for WSNs, the average network throughput can be doubled

BodyMAC : energy efficient TDMA-based MAC protocol for Wireless Body Area Networks

Wireless Body Area Networks (WBANs) enable placement of tiny biomedical sensors on or inside the human body to monitor vital body signs. The IEEE 802.15.6 task group is developing a standard to optimize WBAN performance by defining the physical layer (PHY) and media access control (MAC) layer specifications. In this paper an energy efficient MAC protocol (BodyMAC) is proposed. It uses flexible bandwidth allocation to improve node energy efficiency by reducing the possibility of packet collisions and by reducing radio transmission times, idle listening and control packets overhead. BodyMAC is based on a Downlink and Uplink scheme in which the Contention Free Part in the Uplink subframe is completely collision free. Three types of bandwidth allocation mechanisms allow for flexible and efficient data and control communications. An efficient Sleep Mode is introduced to reduce the idle listening duration, especially for low duty cycle nodes in the network. Simulation results show superior performance of BodyMAC compared to that of the IEEE 802.15.4 MAC.5 page(s

Energy efficient integrated scheduling of unicast and multicast traffic in 802.16e WMANs

In this paper we address a new problem that has not been addressed in the past: how to improve energy efficiency for both unicast and multicast services without violating QoS requirements of mobile stations in 802.16e wireless networks. We propose a scheduling set based integrated scheduling (SSBIS) algorithm to solve the problem. SSBIS partitions all the mobile stations into multicast Scheduling Sets and a unicast Scheduling Set on the principle of minimizing mobile stations\u27 energy consumptions by making use of the multicast transmission scheme and it adopts different scheduling policies based on the attributes of the Scheduling Sets to improve energy efficiency of the whole system. Numerical results show that SSBIS can result in a significant overall energy saving while at the same time guaranteeing the minimum data rates of mobile stations

Fast RSVP: a cross layer resource reservation scheme for mobile IPv6 networks

This paper proposes a new cross layer scheme (Fast (Fast RSVP) RSVP) to reserve resources in mobile IPv6 networks. networks. Through the cooperation of mobile IP and RSVP modules, The organ Fast RSVP includes a number of mechanisms such as ad- introduces re vanced resource reservation on neighbor tunnels, resource RSVP schem reservation on optimized routes, resource reservation for results; Secti handover sessions, path merge etc. Network simulation re- conclusions. sults show that our scheme, compared with other traditional ways to reserve resources in mobile environments, has the 2. Related following advantages: (1) it allows a mobile node to realize fast handover with QoS guarantees; (2) it avoids resource wasting caused by triangular routes and duplicate In recent reservations; (3) it distinguishes different types of reserva- have carried tion requests, greatly reducing the handover session forced vation schem termination rate while maintaining high performance ofthe posals [2-6] network

Channel Efficiency Aware Scheduling Algorithm for Real-Time Services in Wireless Networks

Abstract In this paper, we consider the problem of scheduling real time services over time-varying wireles

Channel Efficiency Aware Scheduling Algorithm for Real-Time Service in Wireless Networks

6 page(s

Research on the implementation of VoIP service in mobile Ad Hoc network

This paper presents a new way to design VoIP application on mobile Ad Hoc network, which can correctly solve the problem of variable IP addresses in MANET and allows the nodes to communicate with each other reliably.3 page(s