Energy-aware workload distribution becomes crucial for extending the lifetime of wireless sensor networks (WSNs) in complex applications as those in Internet-of-things or in-network DSP processing scenarios. Today sta...
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ISBN:
(纸本)9781509014590
Energy-aware workload distribution becomes crucial for extending the lifetime of wireless sensor networks (WSNs) in complex applications as those in Internet-of-things or in-network DSP processing scenarios. Today static workload schedules are well understood, while dynamic schedules (i.e., with multiple partitions) remain unexplored. this paper models the dynamic scheduling by considering boththe communication and computation energy consumption. It formulates a series of (integer) linear programming problems to characterize the optimal scheduling strategies. Surprisingly, even 2-partition scheduling can provide the maximum gains. Besides the interest to evaluate the optimality of on-line heuristics for dynamic scheduling, the reported off-line strategies can be immediately applied to WSN applications.
We present a technique to identify transmission timing for ieee802.15.4 based Wireless sensor Networks (WSNs) in the presence of WiFi interference. Our technique is based on modeling WiFi traffic with a Modulated Mark...
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ISBN:
(纸本)9781509014590
We present a technique to identify transmission timing for ieee802.15.4 based Wireless sensor Networks (WSNs) in the presence of WiFi interference. Our technique is based on modeling WiFi traffic with a Modulated Markov Poisson Process (MMPP) model in order to enable us to predict when WiFi transmissions take place and avoid them. We have evaluated the accuracy of our model in a small test-bed. Results are promising and suggest that our approach can increase the reliability of ieee802.15.4 transmissions.
Constrained Application Protocol (CoAP) was developed to support the communication between resource constrained nodes via low-power links. As an Internet protocol, CoAP needs congestion control primarily to stabilize ...
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ISBN:
(纸本)9781509014590
Constrained Application Protocol (CoAP) was developed to support the communication between resource constrained nodes via low-power links. As an Internet protocol, CoAP needs congestion control primarily to stabilize the networking operation. In this paper we propose a new round trip time based adaptive congestion control scheme, which improves CoAP by utilizing the retransmission count information in estimating the retransmission timeout. An experiment is conducted based on Californium CoAP framework and real devices. It shows that the proposed scheme significantly improves CoAP in terms of throughput and rate of successful transaction.
the adaptive configuration of nodes in a sensor network optimizes the use of scarce network resources to improve target tracking performance. Moreover, the effective fusion of measurements from heterogeneous sensing n...
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ISBN:
(纸本)9781728105703
the adaptive configuration of nodes in a sensor network optimizes the use of scarce network resources to improve target tracking performance. Moreover, the effective fusion of measurements from heterogeneous sensing nodes provides diversity in information on the state of the target for additional performance gains. However, the joint configuration of the heterogeneous parameters of nodes and the fusion of heterogeneous measurements for sequential estimation are challenging tasks. To tackle these challenges, a sequential Monte Carlo method is presented in this work that adaptively configures heterogeneous sets of sensing nodes and fuses heterogeneous data for target tracking. A simulation experiment is provided as an example application of the method to demonstrate the configuration of cognitive foveal and radar nodes and the fusion of heterogeneous data for accurate and efficient single target tracking.
Low-power operation of power-hungry MOX sensors is usually achieved by duty cycling them periodically. However, a difficulty arises if a sensor is operated at irregular time intervals due to intermittent energy availa...
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ISBN:
(纸本)9781665439299
Low-power operation of power-hungry MOX sensors is usually achieved by duty cycling them periodically. However, a difficulty arises if a sensor is operated at irregular time intervals due to intermittent energy availability in energy-neutral or batteryless applications. In this work, we propose a compensation method which re-maps on-demand measurements to virtually duty-cycled readings in the value domain by taking the duration of the last off-time into account. We evaluate our compensation algorithm based on Sensirion's SGP30 sensor and achieve up to 79% accuracy improvement compared to uncompensated measurements.
In recent years, wireless sensor networks offer cost-effective solutions to various surveillance and tracking applications withthe developments in sensor techniques. In many of these applications, sensor nodes that a...
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ISBN:
(纸本)9781479946181
In recent years, wireless sensor networks offer cost-effective solutions to various surveillance and tracking applications withthe developments in sensor techniques. In many of these applications, sensor nodes that are equipped with directional sensors and they operate autonomously in unattended environments. the deployment strategy of directional sensor nodes is critical to improve target detection and tracking accuracy. In this paper, deployment of passive infrared motion (PIR) sensors is analyzed in terms of coverage issue. A PIR sensor Deployment (PSD) problem is addressed using deployment schemes that are based on computational geometry. Finally, the performance of deployment schemes is evaluated in a Java based simulation environment.
this paper describes a technique to save energy in the distributed Information_Driven maximum likelihood algorithm used for the localization of a diffusive source in Wireless sensor Networks. First, the accurate Infor...
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ISBN:
(纸本)9781424437092
this paper describes a technique to save energy in the distributed Information_Driven maximum likelihood algorithm used for the localization of a diffusive source in Wireless sensor Networks. First, the accurate Information_driven maximum likelihood distributed estimation based on the Gauss-Newton method is derived and called Modified Information-driven Collaborative Processing (MIDCP). In this method, a neighborhood region is defined and the information of all sensor nodes in this area is used to increase the algorithm accuracy. then, a method for decreasing the energy consumption of this algorithm is proposed and called Energy Efficient MIDCP (EFMIDCP). In this algorithm, for estimation update, first, the neighboring radius is set to communication range of sensor nodes. After that, based on the covariance of estimation error in each iteration, this radius is decreased. therefore, the amount of energy consumption is abated because of less transmission. Simulation results show the low energy consumption in the second proposed algorithm while its accuracy is rather well.
One of the problems to introduce the high-speed traffic is the need to improve the efficiency of the DC traction power supply system. the most promising method of improving this system is the transition to a distribut...
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ISBN:
(纸本)9781728121598
One of the problems to introduce the high-speed traffic is the need to improve the efficiency of the DC traction power supply system. the most promising method of improving this system is the transition to a distributed power supply system for traction load. During its implementation, there is a problem in measuring the voltage levels in the traction network to ensure the effective operation of the system. the article discusses the use of the sensory method for determining the voltage sensors location and checks the range of the antennas to provide redundancy of information transmission in a distributed traction power supply system.
One of the main challenges for communication in Vehicular Ad Hoc Networks (VANETs) is efficient network channel utilization for the transmission of network packets. Withthe growing number of vehicles in the network, ...
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ISBN:
(纸本)9781728105703
One of the main challenges for communication in Vehicular Ad Hoc Networks (VANETs) is efficient network channel utilization for the transmission of network packets. Withthe growing number of vehicles in the network, the number of safety messages increases quickly, which results in the network channel congestion. In this paper, we introduce a new approach to adapt the transmission power, which is based on the vehicle density of the network. the aim is to reduce congestion on the network channel and improve the overall performance of network. Our simulation results indicate that this approach can lead to enhanced performance in terms of reduced packet loss and inter-packet delay.
In this paper, we present a middleware architecture for dependable mobile systems and an experimentation platform for its evaluation. T he proposed architecture includes three building blocks tailored for mobile coope...
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ISBN:
(纸本)9781424477425
In this paper, we present a middleware architecture for dependable mobile systems and an experimentation platform for its evaluation. T he proposed architecture includes three building blocks tailored for mobile cooperative applications: a Proximity Map, a Trust and Cooperation Oracle, and a Cooperative Data Backup service. To illustrate our platform, we developed a distributed Black-box application, whose aim is to record critical data while tolerating the failure of a node, and implemented a hardware evaluation platform of mobile systems for experimenting withthe application. We provide here some insights on the development of the platform, focusing on wireless communication emulation via signal attenuation.
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