Earticle

초록

영어

To meet the demands of wireless sensor networks (WSNs) where data are usually aggregated at a single source prior to transmitting to any distant user, there is a need to establish a tree structure inside to aggregate data. In this paper, an adaptive energy aware data aggregation tree (AEDT) is proposed. The proposed tree uses the maximum energy available node as the data aggregator node. The tree incorporates sleep and awake technology where the communicating node and the parent node are only in awake state rest all the nodes go to sleep state saving the network energy and enhancing the network lifetime. When the traffic load crosses the threshold value, then the packets are accepted adaptively according to the communication capacity of the parent node. The proposed tree maintains a memory table which stores the value of each selected path. Path selection is based on shortest path algorithm where the node with highest available energy is always selected as forwarding node. By simulation results, we show that our proposed tree enhances network lifetime minimizes energy consumption and achieves good delivery ratio with reduced delay.

목차

Abstract
 1. Introduction
 2. Literature Survey
 3. Adaptive Energy Aware Data Aggregation Tree
  3.1 Parent Formation
  3.2 Communication Capacity
  3.3 Sleep and Awake Mode
  3.4 Path Selection
  3.5 Adaptive Energy Aware Data Aggregation Tree Formation (AEDT)
 4. Simulation Results
  41. Simulation Setup
  4.2 Performance Metrics
  4.3 Simulation Results
 5. Conclusions
 References

키워드

저자

• Deepali Virmani [ Department of CSE, BPIT, GGSIPU ]
• Tanu Sharma [ Department of CSE, BPIT, GGSIPU ]
• Ritu Sharma [ Department of CSE, BPIT, GGSIPU ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605