Abstract
This chapter addresses the scheduling problem of a sensor that constantly collects information from multiple sites. In the existing literature, the problem is solved by probabilistic approaches, potentially generating schedules in which a site is not visited for a long time. To overcome this deficiency, this chapter presents a deterministic approach formulated as an integer linear program. Upon showing that the problem is NP-Hard, the chapter develops valid lower and upper bounds and proposes two constructive heuristic methods. Tested via an extensive computational study, the heuristic methods are proven efficient and effective in solving the problem.
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Yavuz, M., Jeffcoat, D. (2007). An Analysis and Solution of the Sensor Scheduling Problem. In: Pardalos, P.M., Murphey, R., Grundel, D., Hirsch, M.J. (eds) Advances in Cooperative Control and Optimization. Lecture Notes in Control and Information Sciences, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74356-9_10
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DOI: https://doi.org/10.1007/978-3-540-74356-9_10
Publisher Name: Springer, Berlin, Heidelberg
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