Wireless Communication

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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