Efficient scheduling algorithm for query processing in Opportunistic Sensor Network under human mobility model

2014 ◽  
Author(s):  
Mehul B. Shah ◽  
Jignesh L. Rathod
Keyword(s):  
Query Processing ◽  
Sensor Network ◽  
Human Mobility ◽  
Scheduling Algorithm ◽  
Mobility Model

scholarly journals A novel geo-hierarchical population mobility model for spatial spreading of resurgent epidemics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexandru Topîrceanu ◽  
Radu-Emil Precup
Keyword(s):  
Computational Models ◽  
Human Mobility ◽  
Discrete Event ◽  
Mobility Model ◽  
Hierarchical Organization ◽  
Population Mobility ◽  
Mobility Patterns ◽  
Fine Grained ◽  
Epidemic Size ◽  
Control Of Epidemics

AbstractComputational models for large, resurgent epidemics are recognized as a crucial tool for predicting the spread of infectious diseases. It is widely agreed, that such models can be augmented with realistic multiscale population models and by incorporating human mobility patterns. Nevertheless, a large proportion of recent studies, aimed at better understanding global epidemics, like influenza, measles, H1N1, SARS, and COVID-19, underestimate the role of heterogeneous mixing in populations, characterized by strong social structures and geography. Motivated by the reduced tractability of studies employing homogeneous mixing, which make conclusions hard to deduce, we propose a new, very fine-grained model incorporating the spatial distribution of population into geographical settlements, with a hierarchical organization down to the level of households (inside which we assume homogeneous mixing). In addition, population is organized heterogeneously outside households, and we model the movement of individuals using travel distance and frequency parameters for inter- and intra-settlement movement. Discrete event simulation, employing an adapted SIR model with relapse, reproduces important qualitative characteristics of real epidemics, like high variation in size and temporal heterogeneity (e.g., waves), that are challenging to reproduce and to quantify with existing measures. Our results pinpoint an important aspect, that epidemic size is more sensitive to the increase in distance of travel, rather that the frequency of travel. Finally, we discuss implications for the control of epidemics by integrating human mobility restrictions, as well as progressive vaccination of individuals.

Mobile Sink with Mobile Agents

2020 ◽  
pp. 1035-1047
Author(s):  
Rachana Borawake-Satao ◽  
Rajesh Shardanand Prasad
Keyword(s):  
Sensor Network ◽  
Future Internet ◽  
Mobile Sink ◽  
Mobility Model ◽  
Wireless Sensor ◽  
Node Mobility ◽  
Key Factor ◽  
Potential Applications ◽  
Efficient Data ◽  
Efficient Data Collection

Wireless Sensor Networks (WSN) has been drawing considerable attention and discussion in recent years due to its potential applications in various fields. In modern applications for future internet the MSN (Mobile Sensor Network) is a key factor. Mobility allows the applications of Wireless Sensor Network to be compatible with IoT (Internet of Things) applications. As mobility enhances capability of the network it also affects the performance of the network at each layer. In recent years the various methodologies are proposed to handle mobility. Most of them use mobility for efficient data collection in WSNs. The purpose of this paper is to study effects of mobility on various performance parameters of the network and to explore the effective techniques to handle mobility in network. This paper proposes Mobile Sink with Mobile Agent mobility model for WSN which will increase the lifetime of the network using sink and agent node mobility.

Mobile Sink with Mobile Agents

2017 ◽  
Vol 4 (2) ◽  
pp. 24-35 ◽  
Author(s):  
Rachana Borawake-Satao ◽  
Rajesh Shardanand Prasad
Keyword(s):  
Sensor Network ◽  
Mobile Agents ◽  
Future Internet ◽  
Mobile Sink ◽  
Mobility Model ◽  
Wireless Sensor ◽  
Node Mobility ◽  
Key Factor ◽  
Potential Applications ◽  
Efficient Data

Wireless Sensor Networks (WSN) has been drawing considerable attention and discussion in recent years due to its potential applications in various fields. In modern applications for future internet the MSN (Mobile Sensor Network) is a key factor. Mobility allows the applications of Wireless Sensor Network to be compatible with IoT (Internet of Things) applications. As mobility enhances capability of the network it also affects the performance of the network at each layer. In recent years the various methodologies are proposed to handle mobility. Most of them use mobility for efficient data collection in WSNs. The purpose of this paper is to study effects of mobility on various performance parameters of the network and to explore the effective techniques to handle mobility in network. This paper proposes Mobile Sink with Mobile Agent mobility model for WSN which will increase the lifetime of the network using sink and agent node mobility.

scholarly journals A Cluster Sleep-Wake Scheduling Algorithm Based on 3D Topology Control in Underwater Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 156 ◽  
Author(s):  
Wenbo Zhang ◽  
Jing Wang ◽  
Guangjie Han ◽  
Xinyue Zhang ◽  
Yongxin Feng
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
Topology Control ◽  
Scheduling Algorithm ◽  
Basic Unit ◽  
Underwater Sensor Networks ◽  
Efficient Operation ◽  
Underwater Sensor Network ◽  
Temporary Control ◽  
3D Topology

3D topology control in underwater sensor networks is of great significance to ensuring reliable and efficient operation of the network. In this paper, by analyzing the characteristics of an underwater sensor network, we take the cube as the basic unit to perform 3D partition of the monitoring area, define the 3D partition unit and basic cluster structure of the underwater sensor network, and arrange rotating temporary control nodes in the cluster. Then, a cluster sleep-wake scheduling algorithm is proposed that compares the remaining node energy. It selects the node with the largest remaining energy as the working node, and the remaining nodes complete the transition of dormancy and waiting states as long as they reach the preset dormancy time. The node state settings of this phase are completed by the temporary control node. Temporary control nodes selecting and sleep-wake scheduling are used in the algorithm through 3D topology control, which reduces energy consumption and guarantees maximum sensing coverage of the entire network and the connection rate of active nodes. Simulation results further verify the effectiveness of the proposed algorithm.

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