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Machine-to-Machine (M2M) communication has been a hot topic for researchers for last few years. Energy efficiency is one of the major issues in M2M devices. In order to increase the energy efficiency of M2M battery-based devices, this paper proposes an energy efficient clustering technique in M2M based on Affinity Propagation (AP). It uses the simple idea of head rotation among the most appropriate...
Global Navigation Satellite System (GNSS) is a well known method to detect the location. A GNSS sensor is integrated with wireless sensor nodes to know its location distributed in geographically wide area, along with some energy harvesting device such as a solar cell. However, the GNSS sensor consumes relatively larger energy and requires longer sensing time for tracing satellites everytime, compared...
In this paper, we propose a sensing nodes selection scheme to achieve energy efficiency in cooperative spectrum sensing for cognitive sensor networks. In cooperative spectrum sensing, nodes send their results to a fusion center (FC) to make the final decision using a fusion rule. While minimize the energy consumption, we also consider improving the detection performance in our approach by maximizing...
Smartphones with various embedded sensors and wirelessly connected external sensors will enable new applications across a wide variety of domains. Continuous or long-term sensing, processing, and communication of sensor data using smartphones will consume a significant amount of energy of the resource-constrained smartphones. Compression techniques, including predictive coding (PC) and compressed...
We investigate the performance of a wireless sensor network composed of a number of IEEE 802.15.4 clusters interconnected in a linear structure. To equalize node lifetime, we utilize randomized sleep at the individual node level and rotation of the bridge role among the nodes located in shared areas between the clusters. Our Markov chain analysis indicates that the proposed mechanism is capable of...
Secondary Users (SUs) have capability to sense available licensed spectrum in Cognitive Radio Networks (CRNs). Hence, SUs can opportunistically access to the licensed spectrum without disturbing Primary Users (PUs). In this paper, a novel network architecture is proposed to reduce the production cost and the energy consumption for CRNs. The proposed network architecture is based on the spectral requirement...
Energy is one of the most precious resource in Wireless Sensor Networks (WSNs) which is mainly consumed in communication, sensing and processing. Performance evaluation of WSN routing protocols primarily rely on simulation-based studies. Most of these studies only assume oversimplified First Order Radio Model (FORM) and ignore node's energy consumed in sensing and processing. This paper presents an...
In battery-powered Cognitive Machine-to-Machine Communications (CM2M), the energy consumption, opportunistic data access capacity and interference to the licensed system need to be optimized simultaneously. We consider this as joint cooperative spectrum sensing and power allocation, and model this as a constraint multiobjective optimization problem of three objectives. Our model helps to find a Pareto...
Wireless body area network (WBAN) calls for a next generation in wireless networks. This new generation is designed to operate autonomously, to connect various medical sensors and appliances located on or inside a human body. Mobile WBANs have been designed, offering numerous practical and innovative services so that health care and quality of life can be improved. Thus, the equipment used in WBAN...
Modern mobile pervasive applications focus on context awareness that monitors a diverse range of personal domains. In order to infer contextual information, most of these applications require the collection of raw data from sensors which are either embedded in personal smartphones or worn by the user. Critical context-aware applications rely on continuous accurate monitoring of the user's current...
Wireless sensor networks (WSN) have important applications in remote environmental monitoring and target tracking. Because limited energy resource of sensors nodes the optimization of energy consumption is very crucial. Different approaches based upon clustering are applied to reduce energy consumption allowing enhancing network life-time of the network. In this work, an improved approach for wireless...
We consider the problem of estimating lighting energy consumption in a lighting system upgrade scenario. In this scenario, a building has an existing lighting control system, denoted LCS1. We are interested in estimating the energy consumption if a more energy efficient lighting control system, denoted LCS2, had been installed. Lighting data is available from LCS2 for a specific monitored area and...
The rapid growth of modern wireless applications results in spectrum and energy scarcity. Cognitive radio (CR) technology is pivotal to resolve spectrum shortage. However, energy consumption is a critical issue in CR networks (CRNs) due to the unique functionality of spectrum sensing. Besides RF energy harvesting has come up as a potential solution to provide energy to CR devices. In this paper, we...
Here we have discuss the network coverage of sensors nodes and proposed th+○8e algorithm for energy efficiency, target tracking and optimization. In WSN network for achieving the high energy efficiency we need to avoid long distance communication. We focus on distributed deployment optimization, With optimized sensor deployment, and while target tracking for the optimize energy consumption we can...
Cooperative localization has become a promising solution for location-enabled technologies in Wireless Sensor Networks (WSNs). However, it suffers from great energy consumption problem due to the energy-constrained characteristic of the networks. To alleviate this problem, we propose a cluster nodes selection strategy based on the Cramer-Rao lower bound (CRLB) for the cooperative localization algorithm...
Unmanned aerial vehicles (UAVs) can be used to provide wireless network and remote surveillance coverage for disaster-affected areas. During such a situation, the UAVs need to return periodically to a charging station for recharging, due to their limited battery capacity. We study the problem of minimizing the number of UAVs required for a continuous coverage of a given area, given the recharging...
Sensor devices have been widely applied to variety applications, including internet of things (IoT), cyber physical systems (CPS) and environmental monitoring systems. Because all sensing data in such applications are very important for data analysis and mining in a host machine, sensor devices are equipped with non-volatile memory (NVM) [1] and nonvolatile processor [2], [3] to prevent sensing data...
As Location-Based Services (LBSs) are widely used in smartphone applications, Global Positioning System (GPS) becomes one of the main sources of a smartphone's energy consumption. This paper presents an energy-efficient positioning scheme for smartphones called EEPS (Energy-Efficient Positioning Scheme). EEPS adaptively performs the positioning of a smartphone considering the interesting regions of...
With the rapid development of intelligent monitoring today, we have applied numerous sensors in monitoring the target area, but the problem of energy consumption has always been difficult to solve. Because of the large number of wireless sensor network node, the supplement of node energy trapped, so it's imperative for us to consider the design of low-power system. In this paper, we used the PSoC4...
With the advancement of sensor-embedded mobile electronic devices, participatory sensing has attracted more and more attention because it can collect data, analyze information and outsource tasks to those devices' users. However, range query results obtained at the requesters and dissemination data produced at the providers are usually sensitive and private to be disclosed, e.g., users' locations,...
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