Systems engineering life-cycle modeling approach to wireless sensor networks

2010 ◽  
Author(s):  
Radu F Babiceanu
Keyword(s):  
Wireless Sensor Networks ◽  
Life Cycle ◽  
Sensor Networks ◽  
Systems Engineering ◽  
Wireless Sensor ◽  
Modeling Approach

Adaptive Modeling of Routing Algorithms for Wireless Sensor Networks

2012 ◽  
pp. 73-92
Author(s):  
Marcello Cinque ◽  
Catello Di Martino
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Algorithms ◽  
Experimental Results ◽  
Wireless Sensor ◽  
Adaptive Modeling ◽  
Modeling Approach ◽  
Viable Solution ◽  
The Impact

Recent years have witnessed a proliferation of routing algorithms for Wireless Sensor Networks (WSNs), hence complicating the choice of the proper algorithm to be used for a given application. Simulation frameworks represent a viable solution to anticipate crucial choices, however existing solutions do not encompass the impact of changes (e.g., route updates, node crashes) on the nodes behavior and vice-versa. This article proposes a novel adaptive modeling approach to master the complexity of the thorough simulation of routing algorithms for WSN. Experimental results are provided showing the effectiveness of the proposed approach at managing changes, and dealing with detailed aspects, during the simulation and comparison of several routing algorithms.

scholarly journals Wireless Sensor Networks Topology Model Based on Energy Consumption and Life Cycle

2018 ◽  
Vol 14 (05) ◽  
pp. 81
Author(s):  
Ruo Jia
Keyword(s):  
Wireless Sensor Networks ◽  
Life Cycle ◽  
Energy Consumption ◽  
Fault Tolerance ◽  
Sensor Networks ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Scale Free ◽  
Evolving Model ◽  
Improved Model

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">Regarding the disadvantages of Wireless Sensor Networks such as random node failure, imbalanced network energy consumption, and shorter life cycle etc., the paper proposes an improved evolving model with an overall integration of fault-tolerance topology and network energy consumption, as a fusion mechanism optimizing the original node degree, generation ability and node distance in the model; it also validates the advantages of the improved model in terms of network life cycle, residual energy of node, node spacing and fault tolerance etc. by comparing the model with the optimized model of traditional sensor. With the establishment of WSNs energy consumption model, the paper evaluates the network life cycle and analyses the influence of node spacing and residual energy of node on WSNs, by adopting which as the fitness functions of the model, a scale-free fault tolerance topology evolving model with link deletion mechanism is constructed. The simulation comparison shows that the topology structure of the improved model has significant scale-free characteristics, a balanced network energy consumption and a long network life cycle; it can also effectively increase the fault tolerance and intrusion tolerance of network.</span>

An Improved LEACH Protocol in Wireless Sensor Networks

2015 ◽  
Vol 743 ◽  
pp. 748-752 ◽  
Author(s):  
L.F. Liu ◽  
P. Guo ◽  
J. Zhao ◽  
N. Li
Keyword(s):  
Wireless Sensor Networks ◽  
Life Cycle ◽  
Sensor Networks ◽  
Cluster Head ◽  
Network Routing ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Head Node ◽  
Leach Protocol

Wireless sensor network routing protocol is to prolong the survival time of wireless sensor networks by using the sensor nodes energy efficiently. Traditional LEACH protocol is random in the election of the cluster head, if a less energy node is first elected as a cluster head node, then the node might die soon, it will greatly reducing the lifetime of the network. In order to collect data more efficiently and prolong the network life cycle,we need better clustering protocol. Aim at the traditional LEACH protocol have some weakness,this paper improve the protocol based on traditional LEACH protocol, two influence factors which the residual energy and the number of elected cluster head of the nodes had been introduced to make the clustering more ideal. Simulation results show that compared to the traditional Leach algorithm ,the improved LEACH protocol can prolong the network life cycle more effective and reduce the energy consumption of the whole network.

An Improvement of LEACH Protocol Based on Motes’ Location Information

2010 ◽  
Vol 108-111 ◽  
pp. 1176-1181
Author(s):  
Yu Jiang ◽  
Yan Chun Liang ◽  
Li Li He ◽  
Ying Hui Cao ◽  
Cheng Quan Hu
Keyword(s):  
Wireless Sensor Networks ◽  
Life Cycle ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Base Station ◽  
Experimental Results ◽  
Wireless Sensor ◽  
Location Information ◽  
Leach Protocol ◽  
Entire Network

Network’s life cycle and the energy expending rates of mote are important performance criterions for wireless sensor networks (WSN). An improved routing protocol based on LEACH was proposed in this paper to prolong the network’s life cycle. The improved routing protocol took the circumstance into consideration, that is every mote knows the location information of its own and that of the base station. We analyzed that how to use these location information to extend the mote’s life cycle. And then the extension of the entire network life cycle was achieved. Simulation on the NS2-environment was conducted. And the experimental results show that the whole network’s life cycle was extended greatly.

Adaptive Modeling of Routing Algorithms for Wireless Sensor Networks

2010 ◽  
Vol 1 (1) ◽  
pp. 21-40
Author(s):  
Marcello Cinque ◽  
Catello Di Martino
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Algorithms ◽  
Experimental Results ◽  
Wireless Sensor ◽  
Adaptive Modeling ◽  
Modeling Approach ◽  
Viable Solution ◽  
The Impact

Recent years have witnessed a proliferation of routing algorithms for Wireless Sensor Networks (WSNs), hence complicating the choice of the proper algorithm to be used for a given application. Simulation frameworks represent a viable solution to anticipate crucial choices, however existing solutions do not encompass the impact of changes (e.g., route updates, node crashes) on the nodes behavior and vice-versa. This article proposes a novel adaptive modeling approach to master the complexity of the thorough simulation of routing algorithms for WSN. Experimental results are provided showing the effectiveness of the proposed approach at managing changes, and dealing with detailed aspects, during the simulation and comparison of several routing algorithms.

Sign in / Sign up

Export Citation Format

Share Document