Informatics Publishing Limited

S. R. Boselin Prabhu ¹, A. Thirunavukarasu ², S. Kaliappan ³

Affiliations
1 Department of Electronics and Communication Engineering, Tamilnadu College of Engineering, Coimbatore, IN
2 Department of Computer Science and Engineering, Tamilnadu College of Engineering, Coimbatore, IN
3 Department of Electrical and Electronics Engineering, Park College of Engineering and Technology, Coimbatore, IN

Abstract

Wireless sensor Networks (WSNs), is one of the most rapidly growing scientific domain. This is because of the development of advanced sensor nodes with extremely low cost One of the characteristic feature of WSNs compared to the traditional wireless communication networks, is the power awareness, due to the fact that the batteries of the sensor nodes have restricted lifetime and are difficult to be replaced. This is why we focus on “power awareness”. Due to its working environment and the mobility of sensor node, this kind of sensor network is very much essential to reduce power utility. We propose a jumping ant routing algorithm (JARA) which combines the advantages of reactive and proactive routing to speed up the route discovery time and reduce the route discovery overhead in sensor network, thereby reducing power. The simulation results shows improvement in energy efficiency depends on number of source nodes in sensor network which is 45% energy efficiency using optimal aggregation compared to approximate aggregation schemes in moderate number of sources. To reduce “delay” in such networks we introduce replication or “spraying” methods that can reduce the overhead of flooding-based schemes by distributing a small number of copies to only a few relays, whereas 20% energy efficiency in large number of source nodes. To route messages efficiently in such networks, we propose a scheme that also distributes a small number of copies to few relays. However, each relay can then forward its copy, instead of naively waiting to deliver it to the destination itself. This scheme exploits all the advantages of controlled replication, and could deliver the message faster thereby reducing delay. Simulation results for traditional mobility models, as well as for a more realistic “community-based” model, indicate that our scheme can reduce the delay 20 times compared to existing techniques. Hence the Quality of Service (QoS) is greatly improved when comparing with the existing techniques.

Keywords

Wireless Sensor Networks, JARA (Jumping Ant Routing Algorithm), Spray and Focus Routing, Quality of Service (QoS).

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T. Senthil Kumar ¹, S. R. Boselin Prabhu ², S. Sophia ³

Affiliations
1 Department of Information Technology, SVS College of Engineering, Coimbatore, IN
2 Department of Electronics and SVS College of Engineering, Coimbatore, IN
3 Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, IN

Abstract

A sensor is a miniature component which gauge physical parameters from the environment. A sensor measures the physical parameters and transmits them either by wired or wireless means. In wireless medium the sensor and its allied components are called as node. A wireless sensor node is self-assured by a processor, local memory, sensors, radio, battery and a base station accountable for receiving and processing data collected by the nodes. The incorporation of multiple types of sensors such as seismic, acoustic, optical, etc., in a single network platform and the evaluation of the overall coverage of the system also presents numerous interesting challenges. The sensor-based military applications involves intrusion detection, perimeter monitoring, information gathering and smart logistics support in an unknown deployed area, sensor-based personal health monitoring, location detection with sensor network and movement detection using wireless sensor network. This paper gives a detailed description about the impact of clustering mechanism in dense wireless sensor network.

Keywords

Sensor, Sensor Nodes, Wireless Sensor Network (WSN), Distributed Clustering, Dense Wireless Sensor Network.

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S. R. Boselin Prabhu ¹, C. V. Dhasharathi ¹, R. Prabhakaran ¹, M. Raj Kumar ¹, S. Wasim Feroze ¹, S. Sophia ²

Affiliations
1 Department of Electronics and Communication Engineering, SVS College of Engineering, Coimbatore, IN
2 Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, IN

Abstract

A sensor is a miniature component which measure physical parameters from the environment. Sensors measure the physical parameters and transmit them either by wired or wireless medium. In wireless medium the sensor and its associated components are called as node. A node is self-possessed by a processor, local memory, sensors, radio, battery and a base station responsible for receiving and processing data collected by the nodes. They carry out joint activities due to limited resources such as battery, processor and memory. Nowadays, the applications of these networks are numerous, varied and the applications in agriculture are still budding. One interesting application is in environmental monitoring and greenhouse control, where the crop conditions such as climate and soil do not depend on natural agents. To control and monitor the environmental factors, sensors and actuators are necessary. Under these circumstances, these devices must be used to make a distributed measure, spreading sensors all over the greenhouse using distributed clustering. This paper reveals an idea of environmental monitoring and greenhouse control using a sensor network. The hardware implementation shows periodic monitoring and control of greenhouse gases in an enhanced manner. Future work is concentrated in application of the same mechanism using wireless sensor network.

Keywords

Sensor, Sensor Nodes, Wireless Sensor Network (WSN), Greenhouse Control, Environmental Monitoring, CO₂ Monitoring, Distributed Clustering.

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