TY - JOUR
T1 - On the Use of Graphs for Node Connectivity in Wireless Sensor Networks for Hostile Environments
AU - García-González, Emmanuel
AU - Chimal-Eguía, Juan C.
AU - Rivero-Angeles, Mario E.
AU - Pla, Vicent
N1 - Publisher Copyright:
© 2019 Emmanuel García-González et al.
PY - 2019
Y1 - 2019
N2 - Wireless sensor networks (WSNs) have been extensively studied in the literature. However, in hostile environments where node connectivity is severely compromised, the system performance can be greatly affected. In this work, we consider such a hostile environment where sensor nodes cannot directly communicate to some neighboring nodes. Building on this, we propose a distributed data gathering scheme where data packets are stored in different nodes throughout the network instead to considering a single sink node. As such, if nodes are destroyed or damaged, some information can still be retrieved. To evaluate the performance of the system, we consider the properties of different graphs that describe the connections among nodes. It is shown that the degree distribution of the graph has an important impact on the performance of the system. A teletraffic analysis is developed to study the average buffer size and average packet delay. To this end, we propose a reference node approach, which entails an approximation for the mathematical modeling of these networks that effectively simplifies the analysis and approximates the overall performance of the system.
AB - Wireless sensor networks (WSNs) have been extensively studied in the literature. However, in hostile environments where node connectivity is severely compromised, the system performance can be greatly affected. In this work, we consider such a hostile environment where sensor nodes cannot directly communicate to some neighboring nodes. Building on this, we propose a distributed data gathering scheme where data packets are stored in different nodes throughout the network instead to considering a single sink node. As such, if nodes are destroyed or damaged, some information can still be retrieved. To evaluate the performance of the system, we consider the properties of different graphs that describe the connections among nodes. It is shown that the degree distribution of the graph has an important impact on the performance of the system. A teletraffic analysis is developed to study the average buffer size and average packet delay. To this end, we propose a reference node approach, which entails an approximation for the mathematical modeling of these networks that effectively simplifies the analysis and approximates the overall performance of the system.
UR - http://www.scopus.com/inward/record.url?scp=85076335811&partnerID=8YFLogxK
U2 - 10.1155/2019/7409329
DO - 10.1155/2019/7409329
M3 - Artículo
AN - SCOPUS:85076335811
SN - 1687-725X
VL - 2019
JO - Journal of Sensors
JF - Journal of Sensors
M1 - 7409329
ER -