Applying Exploratory Testing and Ad-Hoc Usability Inspection to Improve the Ease of Use of a Mobile Power Consumption Registration App: An Experience Report

We propose a method for managing the spontaneous organization of sensor activity in ad hoc wireless sensor systems. The wireless sensors exchange messages to coordinate responses to requests for sensing data, and to control the fraction of sensors which are active. This method can be used to manage a variety of sensor activities. In particular, it can be used for reducing the power consumption by battery operated devices when only low resolution sensing is required, thus increasing their operation lifetimes.

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Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc Networks

Journal of Communications Software and Systems ◽

10.24138/jcomss.v9i3.146 ◽

2013 ◽

Vol 9 (3) ◽

pp. 170 ◽

Cited By ~ 4

Author(s):

Nyoman Gunantara ◽

Gamantyo Hendrantoro

Keyword(s):

Power Consumption ◽

Ad Hoc Networks ◽

Wireless Ad Hoc Networks ◽

Ad Hoc ◽

Cross Layer ◽

Multihop Wireless ◽

Cross Layer Optimization ◽

Hoc Networks ◽

Pareto Method ◽

Selection Of

This paper focuses in the selection of an optimal path pair for cooperative diversity based on cross-layer optimization in multihop wireless ad hoc networks. Cross-layer performance indicators, including power consumption, signal-to-noise ratio, and load variance are optimized using multi-objective optimization (MOO) with Pareto method. Consequently, optimization can be performed simultaneously to obtain a compromise among three resources over all possible path pairs. The Pareto method is further compared to the scalarization method in achieving fairness to each resource. We examine the statistics of power consumption, SNR, and load variance for both methods through simulations. In addition, the complexity of the optimization of both methods is evaluated based on the required computing time.

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Unleashing The Power of Your Master Linkage Map – Is There A Role For Business Intelligence Tools In Supporting Data Linkage?

International Journal for Population Data Science ◽

10.23889/ijpds.v4i3.1235 ◽

2019 ◽

Vol 4 (3) ◽

Author(s):

Brian Stokes

Keyword(s):

Business Intelligence ◽

Ad Hoc ◽

Data Linkage ◽

Query Language ◽

Ease Of Use ◽

Size Estimation ◽

Cohort Size ◽

Data Services ◽

Technical Staff ◽

Software Applications

Background with rationaleBusiness Intelligence (BI) software applications collect and process large amounts of data from one or more sources, and for a variety of purposes. These can include generating operational or sales reports, developing dashboards and data visualisations, and for ad-hoc analysis and querying of enterprise databases. Main AimBusiness Intelligence (BI) software applications collect and process large amounts of data from one or more sources, and for a variety of purposes. These can include generating operational or sales reports, developing dashboards and data visualisations, and for ad-hoc analysis and querying of enterprise databases. Methods/ApproachIn deciding to develop a series of dashboards to visually represent data stored in its MLM, the TDLU identified routine requests for these data and critically examined existing techniques for extracting data from its MLM. Traditionally Structured Query Language (SQL) queries were developed and used for a single purpose. By critically analysing limitations with this approach, the TDLU identified the power of BI tools and ease of use for both technical and non-technical staff. ResultsImplementing a BI tool is enabling quick and accurate production of a comprehensive array of information. Such information assists with cohort size estimation, producing data for routine and ad-hoc reporting, identifying data quality issues, and to answer questions from prospective users of linked data services including instantly producing estimates of links stored across disparate datasets. Conclusion BI tools are not traditionally considered integral to the operations of data linkage units. However, the TDLU has successfully applied the use of a BI tool to enable a rich set of data locked in its MLM to be quickly made available in multiple, easy to use formats and by technical and non-technical staff.

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Power Consumption Analysis in Mobile Ad Hoc Networks

2013 European Modelling Symposium ◽

10.1109/ems.2013.87 ◽

2013 ◽

Cited By ~ 3

Author(s):

Panos Bakalis ◽

Lawal Bello ◽

Predrag Rapajic ◽

Kwashie A. Anang

Keyword(s):

Power Consumption ◽

Ad Hoc Networks ◽

Mobile Ad Hoc Networks ◽

Ad Hoc ◽

Mobile Ad Hoc ◽

Hoc Networks

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DISTANCE AND HOPS-BASED ENERGY ESTIMATION IN WIRELESS SENSOR NETWORKS

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2017.v10s1.19571 ◽

2017 ◽

Vol 10 (13) ◽

pp. 85 ◽

Cited By ~ 1

Author(s):

Pradeep Kumar Ts ◽

Sayali Chitnis

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Power Consumption ◽

Ad Hoc ◽

Routing Algorithm ◽

Wireless Sensor ◽

Transmission Power ◽

Energy Estimation ◽

Wide Range ◽

Implementation Level

The world of internet of things (IoT) and automation has been catching a robust pace to impact wide range of commercial and domestic applications for some time now. The IoT holds ad-hoc or wireless sensor networks (WSNs) at its very primary implementation level, the hardware level. The increasing requirement of these networks demands a renewed and better design of the network that improves the already existing setbacks of WSNs, which is mainly the power consumption and optimization. Routing highly affects the power consumed in the nodes in WSNs, hence having a modified routing algorithm which is specific to the application and meets its needs, particularly it is a good approach instead of having a generalized existent routing approach. Currently, for WSN having adequate number of nodes, routing involves maximum number of nodes and hops so as to reduce power consumption. However, for restricted areas and limited nodes, this scenario concludes with using up more number of nodes simultaneously resulting in reducing several batteries simultaneously. A routing algorithm is proposed in this paper for such applications that have a bounded region with limited resources. The work proposed in this paper is motivated from the routing algorithm positional attribute based next-hop determination approach (PANDA-TP) which proposes the increase in number of hops to reduce the requirement of transmission power. The aim of the proposed work is to compute the distance between the sending and receiving node and to measure the transmission power that would be required for a direct(path with minimum possible hops) and a multi-hop path. If the node is within the thresh-hold distance of the source, the packet is undoubtedly transferred directly; if the node is out of the thresh-hold distance, then the extra distance is calculated. Based on this, the power boosting factor for the source node, and if necessary, then the extra number of nodes that would be required to transmit is determined. An extra decision-making step is added to this approach which makes it convenient to utilize in varied situations. This routing approach suits the current level of robustness that the WSNs demand.

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Design for Power Control in Wireless Ad Hoc Networks

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.2901 ◽

2011 ◽

Vol 403-408 ◽

pp. 2901-2904

Author(s):

Jin Wei Xia

Keyword(s):

Power Consumption ◽

Power Control ◽

Wireless Ad Hoc Networks ◽

Ad Hoc ◽

Packet Transmission ◽

Transmission Power ◽

Control Protocol ◽

Received Power ◽

Hidden Terminal ◽

Wireless Nodes

Analysised and researched for the power control problem in Ad Hoc network, and Proposed an improved power control protocol based on 802.11MAC layer of CSMA /CA mechanism . The algorithm increased the transmission power value and the received power threshold in the RTS/CTS control packets, the node and its adjacent node can determined the data packet transmission power and received power accorded it, Thus effectively reduced the nodes between the hidden terminal and exposed terminal interference, and can reduced the power consumption of wireless nodes. It is compared with the IEEE 802.11 MAC protocol by simulation. The results show that the power control protocol can improve the system end to end throughput performance, and minimize the power consumption of wireless nodes, so as to saved the network power consumption .

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The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks

Journal of Computer Networks and Communications ◽

10.1155/2019/7983583 ◽

2019 ◽

Vol 2019 ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Nyoman Gunantara ◽

I Dewa Nyoman Nurweda Putra

Keyword(s):

Power Consumption ◽

Ad Hoc Network ◽

Ad Hoc ◽

Signal To Noise Ratio ◽

Computing Time ◽

Signal To Noise ◽

Swarm Optimization ◽

Metaheuristic Methods ◽

Hoc Networks ◽

Selection Of

This research analyzes the metaheuristic methods, that is, ant colony optimization (ACO), genetic algorithm (GA), and particle swarm optimization (PSO), in the selection of path pairs on multicriteria ad hoc network. Multicriteria used are signal-to-noise ratio (SNR), load variance, and power consumption. Analysis of the simulation result is done as follows: first, in terms of computing time, the ACO method takes the most time compared with GA and PSO methods. Second, in terms of multicriteria performance, i.e., the performance of SNR, load variance, and power consumption, the GA method shows the same value in each repetition. It is different from ACO and PSO that show varying values. Finally, the selection of the path pairs by the GA method indicates the pairs of the path that are always the same as by the ACO and PSO methods indicate those that vary.

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