scholarly journals Efficient Resource Allocation in Hybrid Wireless Networks Increase the Capacity

Author(s):  
B. Senbagappriya ◽  
S. S. Dhenakaran

In many wireless sensor network (WSN) the Mobile sinks(MSs) are very essential applications for efficient data gathering, restricted sensor reprogramming, and for distinguishing and revoking compromised sensors. The sensor network that formulate use of the existing 2-tier security structure, elevate a new protection challenge i.e an attacker can easily create a replicated node and can gain control of the data in the network. This project describes a polynomial pool based approach hybrid three-tier general framework that permits the use of any pairwise key predistribution scheme as its basic component. In this technique we implement a special kind of sensor node, which is called as polynomial pool. This sensor node not the part of actual communication. Polynomial pool checks all key of that intruder node and if key matches it allowed that node into network otherwise throwaway from the network. In this project we implemented a new technique with an algorithm named GNDA Good Node Detection Algorithm Based Approach technique with Wireless Sensor Networks. As we all know that, secured files are easily hacked by attacked by they are using several software. In my project the main aim is to avoid this kind of attackers & also increase the capacity by sending by files. Propose a Hybrid Distributed Three-hop Data Routing protocol (HDTR). HDTR protocol improves the Network efficiency and reduces the Overhead. This will also identify the good neighbor node to transfer the data.

2013 ◽  
Vol 133 (4) ◽  
pp. 414-420 ◽  
Author(s):  
Tsuyoshi Suzuki ◽  
Takafumi Kobayashi ◽  
Kei Sawai ◽  
Kuniaki Kawabata ◽  
Fumiaki Takemura ◽  
...  

Location estimation in Wireless Sensor Network (WSN) is mandatory to achieve high network efficiency. Identifying the positions of sensors is an uphill task as monitoring nodes are involved in estimation and localization. Clustered Positioning for Indoor Environment (CPIE) is proposed for estimating the position of the sensors using a Cluster Head (CH) based mechanism. The CH estimates the number of neighbor nodes in each floor of the indoor environment. It sends the requests to the cluster members and the positions are estimated based on the Received Signal Strength Indicators (RSSIs) from the members of the cluster. The performance of the proposed scheme is analyzed for both stable and mobile conditions by varying the number of floors. Experimental results show that the propounded scheme offers better network efficiency and reduces delay and localization error


2013 ◽  
Vol 347-350 ◽  
pp. 1920-1923
Author(s):  
Yu Jia Sun ◽  
Xiao Ming Wang ◽  
Fang Xiu Jia ◽  
Ji Yan Yu

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.


Author(s):  
Sardjoeni Moedjiono ◽  
Aries Kusdaryono

Preserving energy of sensor node in wireless sensor network is an effort to prolong the lifetime of network. Energy of sensor node is very crucial because battery powered and irreplaceable. Energy conservation of sensor node is an effort to reduce energy consumption in order to preserve resource for network lifetime. It can be achieved through efficient energy usage by reducing consumption of energy or decrease energy usage while achieving a similar outcome. In this paper, the authors propose power layer energy efficient routing protocol in wireless sensor network, named PLRP, which use power control and multi-hop routing protocol to control overhead of sensor node and create clustering to distribute energy dissipation and increase energy efficiency of all sensor node. The main idea of PLRP is the use of power control, which divide sensor node into group by base station uses layer of energy and maximize the computation energy in base station to reduce computational energy in sensor node for conservation of network lifetime. The performance of PLRP compared to BCDCP and BIDRP based of hierarchical routing protocol. The simulation results show that PLRP achieve 25% and 30% of improvement on network lifetime.


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