Energy-efficient task assignment of wireless sensor network with the application to agriculture
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Computer Science—the theory, representation, processing, communication and use of information—is fundamentally transforming every aspect of human endeavor. The Department of Computer Science at Iowa State University advances computational and information sciences through; 1. educational and research programs within and beyond the university; 2. active engagement to help define national and international research, and 3. educational agendas, and sustained commitment to graduating leaders for academia, industry and government.
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The Computer Science Department was officially established in 1969, with Robert Stewart serving as the founding Department Chair. Faculty were composed of joint appointments with Mathematics, Statistics, and Electrical Engineering. In 1969, the building which now houses the Computer Science department, then simply called the Computer Science building, was completed. Later it was named Atanasoff Hall. Throughout the 1980s to present, the department expanded and developed its teaching and research agendas to cover many areas of computing.
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1969-present
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- College of Liberal Arts and Sciences (parent college)
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Abstract
Wireless sensor networks have attracted considerable attention from academia as well as industry. The applications of wireless sensor networks encompass the domains of industrial process monitoring and control, machine health monitoring, environment and habitat monitoring, healthcare applications, home automation, traffic control, etc. In this research we focus on the application of wireless sensor networks to agriculture in which sensors are distributed in a field to monitor the environment and soil of certain interested areas in the field. Given a
set of measurement requests and tasks, it is critical to develop a formal, automatic and energy-efficient approach to assign the set of measurement tasks among the given wireless sensor network to fulfill the measurement requests subject to the restrictions such as sensor
locations, sensing abilities and the expected number of samplings. In this work, we model the measurement requests and tasks as tuples and formulate the task assignment problem of wireless sensor networks with the application to agriculture as an instance of Integer Linear Programming (ILP) problem. We also develop a task assignment system using Java, SAT4J and TinyOS to implement the proposed {em formal} and {em automatic} task assignment approach. The proposed ILP formulation and developed task assignment system are applied to the simulations on small and middle-sized wireless sensor networks. The simulation results show that the proposed ILP formulation is
correct and it is feasible to apply the proposed ILP formulation to resolve task assignment problems for small and middle-sized (consisting of at most 100 sensors) wireless sensor networks with a small number of measurement requests (consisting of at most 5 requests).