Neighbour-Cooperation Heterogeneity-Aware Traffic Engineering for Wireless Sensor Networks

Christopher Mumpe, Da Tang, Muhammad Asad, Muhammad Aslam, Jing Chen, Jinsi Zhu, Luyuan Jin

Research output: Contribution to journalArticlepeer-review

Abstract

Extending the operational duration is a major field of interest in Wireless Sensor Networks (WSNs). This lifetime enhancement task challenges researchers to design an energy efficient traffic engineering which minimizes the dissipation energy and retain the expected quality of routing protocols. Network lifetime can be prolonged by balancing the energy optimization throughout the network period over which sensors relay data traffic towards Base Station (BS). Existing techniques of continuous and autonomous reporting sensor nodes, offer an opportunity to design the sensing and reporting co-operation between sensor nodes. Nearby nodes with similar reading environment can cooperate with each other to avoid transmission redundant information. In this paper we propose "Adaptive Inter-Networking Improved (AINI)" multi-hop routing protocol with co-operate sensing of inter and intra cluster communication by exploiting the concept of tripling the sensor nodes. Proposed routing protocol improved the reliability of whole network by improving the reliability of inter-cluster multi-hoping. Sensor nodes use the shortest path to deliver data to CH using intra-cluster multihoping and these CHs are accountable to forward this data to BS using inter-cluster multi-hop communication. Proposed routing protocol resolves the certain issues of WSN like network lifetime, network stability and CHs selection technique. To prove the efficiency of our proposed model we compared the simulation results with existing state-of-the art routing protocols such as, LEACH, LEACH-C, SEP, ESEP and DEEC. Experimental results shows the benefits of neighbour cooperation and heterogeneityaware by the performance of proposed protocol over existing state-of-the-art routing protocols.

Original languageEnglish
Pages (from-to)567-576
Number of pages10
JournalInternational Journal of Advanced Computer Science and Applications
Volume9
Issue number12
DOIs
Publication statusPublished - 2018

Keywords

  • Clustering
  • Energy efficient
  • Multi-hop
  • Routing protocol
  • Wireless Sensor Networks

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