An Energy Efficient Sink Location Service for Continuous Objects in Wireless Sensor Networks

In wireless sensor networks (WSNs), detection and report of continuous object, such as forest fire and toxic gas leakage, is one of the major applications. In large-scale continuous object tracking in WSNs, there might be many source nodes simultaneously, detecting the continuous object. Each nodes reports its data to both a base station and mobile workers in the industry field. For communication between the source nodes and a mobile worker, sink location service is needed to continuously notify the location of the mobile worker. But, as the application has a large number of sources, it causes a waste of energy consumption. To address this issue, in this paper, we propose a two-phase sink location service scheme. In the first phase, the proposed scheme constructs a virtual grid structure for merging the source nodes. Then, the proposed scheme aggregates the merging points from an originated merging point as the second phase. Simulation results show that the proposed scheme is superior to other schemes in terms of energy consumption.

Visualization of Sales Field Activity Data Using Operations Dashboard for ArcGIS

The process of manually recording and visualizing data that has high and complicated transaction rates, is no longer relevant for analyzing errors that often occur in company. The impact is the information generated becomes inaccurate in decision making. Problems that are often experienced by companies in visualizing data are non-real-time, non-integrated data, and irregular data visualization. In an effort to minimize problems such as real-time, not integrated, and irregular data visualization, the role of data visualization is needed to improve company performance. Based on these problems the researcher provides a solution, namely designing a geographic information system visualizing sales field activity data, by providing information about visualizing sales field activity data in real-time through the widget contained in the Operations Dashboard for ArcGIS (ODA). The stages of this research are the study of literature, entering polygon zones, making application-based forms, making application-based coordination, inputting dummy data, collecting data, making maps, making data visualization applications, and analyzing data. The results of this study can monitor workers who have good performance that is seen from the indicator completed most of each worker shows that geobiz_admin has completed as many as 6 completed. And can know the movement (tracking) of workers who come out of the work zone, from the analysis there is one mobile worker who came out of Zone II and entered Zone I and Zone III.

The politics of stuckness: Waiting lives in mobile worlds

This paper develops our geographical understanding of the gendered politics of (im)mobility by exploring the hidden politics of waiting experienced by some mobile working households. Reflecting on qualitative fieldwork with female partners of mobile workers in Australia who remain at home, we explain how ‘stuckness’ is a specific form of waiting that highlights a power-geometry where their immobility is exacerbated by the mobility of their partner. Its key contribution is to spotlight an overlooked durational aspect to immobility which supplements a previous focus on spatial immobility. Taking the self-governing activity of emotion management as our point of departure, we draw on qualitative interviews to highlight the multiple ways that our female participants become focused on short-term processes of getting by, leaving them stuck in the present. A more extensive immersion into the lifeworld of one woman through a photo diary and subsequent interview draws attention to the more passive, insidiously listless dimensions of stuckness which can compromise wellbeing for mobile worker partners.

Exhausting rhythms: the intimate geopolitics of resource extraction

This article develops cultural geographical understandings of exhaustion through an exploration of the bodily pressures induced by mobile working practices. Through analysis of semi-structured interviews with resource sector workers in Australia who work away from home for periods of time as well as ‘left behind’ partners, we argue that exhaustion is a collective ‘structure of feeling’, but one that is differently experienced by mobile workers and partners. Tracing the diverse rhythms of compression and decompression that are experienced by workers and partners both at home and away, our focus on temporality connects the exhaustions experienced at resource extraction sites with exhaustions experienced in the home. By providing an important temporal focus to debates on intimacy-geopolitics, we explain how rhythms instigated by resource work are complicit in generating structures of feeling that compromise wellbeing within the home. We conclude that the exhausted bodies of mobile worker households are an obscured casualty of our current resource-intensive lives.

Optimal Task Partition with Delay Requirement in Mobile Crowdsourcing

Mobile crowdsourcing takes advantage of mobile devices such as smart phones and tablets to process data for a lot of applications (e.g., geotagging for mobile touring guiding monitoring and spectrum sensing). In this paper, we propose a mobile crowdsourcing paradigm to make a task requester exploit encountered mobile workers for high-quality results. Since a task may be too complex for a single worker, it is necessary for a task requester to divide a complex task into several parts so that a mobile worker can finish a part of the task easily. We describe the task crowdsourcing process and propose the worker arrival model and task model. Furthermore, the probability that all parts of the complicated task are executed by mobile workers is introduced to evaluate the result of task crowdsourcing. Based on these models, considering computing capacity and rewards for mobile workers, we formulate a task partition problem to maximize the introduced probability which is used to evaluate the result of task crowdsourcing. Then, using a Markov chain, a task partition policy is designed for the task requester to realize high-quality mobile crowdsourcing. With this task partition policy, the task requester is able to divide the complicated task into precise number of parts based on mobile workers’ arrival, and the probability that the total parts are executed by mobile workers is maximized. Also, the invalid number of task assignment attempts is analyzed accurately, which is helpful to evaluate the resource consumption of requesters due to probing potential workers. Simulations show that our task partition policy improves the results of task crowdsourcing.