Node or Link? Fine-Grained Analysis of Packet-Loss Attacks in Wireless Sensor Networks

2016 ◽  
Vol 12 (2) ◽  
pp. 1-30 ◽  
Author(s):  
Daniele Midi ◽  
Elisa Bertino
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Packet Loss ◽  
Wireless Sensor ◽  
Fine Grained

Fine-grained in-door localisation with wireless sensor networks

2012 ◽  
Author(s):  
Constantinos Marios Angelopoulos ◽  
Gabriel Filios ◽  
Marios Karagiannis ◽  
Sotiris Nikoletseas ◽  
José Rolim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Fine Grained

scholarly journals Congestion Control and Prediction Schemes Using Fuzzy Logic System with Adaptive Membership Function in Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Phet Aimtongkham ◽  
Tri Gia Nguyen ◽  
Chakchai So-In
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Packet Loss ◽  
Superior Performance ◽  
Wireless Sensor ◽  
Volume Data ◽  
Energy Aware ◽  
Fuzzy Logic Systems ◽  
Hop Count

Network congestion is a key challenge in resource-constrained networks, particularly those with limited bandwidth to accommodate high-volume data transmission, which causes unfavorable quality of service, including effects such as packet loss and low throughput. This challenge is crucial in wireless sensor networks (WSNs) with restrictions and constraints, including limited computing power, memory, and transmission due to self-contained batteries, which limit sensor node lifetime. Determining a path to avoid congested routes can prolong the network. Thus, we present a path determination architecture for WSNs that takes congestion into account. The architecture is divided into 3 stages, excluding the final criteria for path determination: (1) initial path construction in a top-down hierarchical structure, (2) path derivation with energy-aware assisted routing, and (3) congestion prediction using exponential smoothing. With several factors, such as hop count, remaining energy, buffer occupancy, and forwarding rate, we apply fuzzy logic systems to determine proper weights among those factors in addition to optimizing the weight over the membership functions using a bat algorithm. The simulation results indicate the superior performance of the proposed method in terms of high throughput, low packet loss, balancing the overall energy consumption, and prolonging the network lifetime compared to state-of-the-art protocols.

Consensus-based filter designing for wireless sensor networks with packet loss

2014 ◽  
Vol 53 (2) ◽  
pp. 578-583 ◽  
Author(s):  
Yan Wang ◽  
Chao Li ◽  
Xiangyu Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Packet Loss ◽  
Wireless Sensor
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