Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1566
Title: Maximizing Wireless Sensor Network lifetime by communication/computation energy optimization of non-repudiation security service: Node level versus network level strategies
Authors: Yıldız, Hüseyin Uğur
Bıçakcı, Kemal
Tavlı, Bülent
Gültekin, Hakan
İncebacak, Davut
19313
Keywords: Wireless Sensor Networks
Digital signature
Network lifetime
Energy efficiency
Mixed Integer Programming
Heuristic
Issue Date: Feb-2016
Publisher: Elsevier Science Bv
Source: Yildiz, H. U., Bicakci, K., Tavli, B., Gultekin, H., & Incebacak, D. (2016). Maximizing Wireless Sensor Network lifetime by communication/computation energy optimization of non-repudiation security service: Node level versus network level strategies. Ad Hoc Networks, 37, 301-323.
Abstract: In a typical Wireless Sensor Network (WSN) application, the basic communication service is the transportation of the data collected from sensors to the base station. For prolonging the network lifetime, energy efficiency should be one of the primary attributes of such a service. The amount of data transmitted by a node usually depends on how much local processing is performed. As an example, in visual sensor networks the amount of image processing on the nodes affects the amount of data transmitted to the base station (i.e., the higher the computation, the lower the communication and vice versa). Hence in order to improve energy efficiency and prolong the network lifetime this communication/computation energy trade-off must be analyzed. This analysis may be performed at the network-level (i.e., all nodes in the network use the same strategy) or at a node level (i.e., sensor nodes do not necessarily have identical strategies). The latter is more fine-grained allowing different nodes to implement different solutions. To guide designers in effectively using these trade-offs to prolong network lifetime, we develop a novel Mixed Integer Programming (MIP) framework. We show that the optimal node level strategy can extend network lifetime more than 20% as compared to a network-level optimal strategy. We also develop a computationally efficient heuristic to overcome the very high computational requirements of the proposed MIP model. (C) 2015 Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.adhoc.2015.08.026
https://hdl.handle.net/20.500.11851/1566
ISSN: 1570-8705
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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