Strong minimum energy topology in wireless sensor networks: np-completeness and heuristics

التفاصيل البيبلوغرافية
العنوان: Strong minimum energy topology in wireless sensor networks: np-completeness and heuristics
المؤلفون: Maggie X. Cheng, D. Liu, Rahul Simha, Xiuzhen Cheng, Bhagirath Narahari
المصدر: IEEE Transactions on Mobile Computing. 2:248-256
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2003.
سنة النشر: 2003
مصطلحات موضوعية: Computer Networks and Communications, Heuristic, Computer science, Distributed computing, Mobile computing, Topology (electrical circuits), Minimum spanning tree, Network topology, Transmitter power output, Electrical and Electronic Engineering, Heuristics, Wireless sensor network, Software, Power control
الوصف: Wireless sensor networks have recently attracted lots of research effort due to the wide range of applications. These networks must operate for months or years. However, the sensors are powered by battery, which may not be able to be recharged after they are deployed. Thus, energy-aware network management is extremely important. In this paper, we study the following problem: Given a set of sensors in the plane, assign transmit power to each sensor such that the induced topology containing only bidirectional links is strongly connected. This problem is significant in both theory and application. We prove its NP-completeness and propose two heuristics: power assignment based on minimum spanning tree (denoted by MST) and incremental power. We also show that the MST heuristic has a performance ratio of 2. Simulation study indicates that the performance of these two heuristics does not differ very much, but; on average, the incremental power heuristic is always better than MST.
تدمد: 1536-1233
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::7665493621fdbf34adc7a074d72590b8Test
https://doi.org/10.1109/tmc.2003.1233530Test
حقوق: OPEN
رقم الانضمام: edsair.doi...........7665493621fdbf34adc7a074d72590b8
قاعدة البيانات: OpenAIRE