Abstract
Wireless sensor networks (WSNs) still attract the attention of researchers, users and the private sector despite their low power and low range tendency for malfunction. This attraction towards WSNs results from their low cost structure and the solutions they offer for many prevalent problems. Many conditions, which remain unforeseen or unexpected during the design of the system, may arise after the initialization of the system. Similarly, many situations where security vulnerabilities take place may emerge in time in WSNs operating normally. In this study, we called nodes which enter sleeping mode without any further waking up and causing a sparser number of nodes in the network without any function in data transmission as Long-Term Sleep Nodes (LT-SN); and considered energy spaces caused by such nodes as a problem; and established two Linear Programming (LP) models based on the efficiency of the present nodes. We offered two different models which present the effect of sensor nodes, which were initially operating in wireless sensor network environment and did not wake up following sleep mode, on network lifetime. The results of the present study report that as the number of LT-SN increases, the lifetime of the network decreases.
Highlights
Technological developments in Wireless sensor networks (WSNs) field are indicating that WSNs will be much more prevalently utilized in the future
We accepted the effects on the lifetime of the network and the consumed energy due to the energy spaces caused by Long-Term Sleep Nodes (LT-SN) nodes, which are not participating in data transmission, as a problem
We accepted the effects on the lifetime of the network and the consumed energy due to the energy spaces caused by LT-SN nodes, which are entering long term sleeping mode and are not waking up, are not participating in data transmission and are causing security issues, as a problem
Summary
Technological developments in Wireless sensor networks (WSNs) field are indicating that WSNs will be much more prevalently utilized in the future. Spaces are forming in a sensor network with full initial coverage area due to nodes entering sleeping mode and losing connection with the network over time These spaces both cause security issues and more workload on the remaining nodes which are required to protect and observed the same related area. We can define the contribution of this paper to the literature as follows: (1) introducing the LT-SN concept to wireless sensor networks and developing a model compatible with this concept, (2) configuration of the same area in the most optimal way with the remaining nodes for observation by using two different algorithms and (3) analysing the performance of the suggested LP mathematical model related to the researched problem via the performed simulations.
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