Green partial packet recovery in wireless sensor networks

Anas H. Daghistani, Abderrahman Ben Khalifa, Ahmad Showail, Basem Shihada

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Partial packet recovery is well known for increasing network throughput and reducing frame retransmissions. However, partial packet recovery methods in the literature are not energy-aware and hence they are not suitable for the battery powered wireless sensor motes. We propose Green-Frag, a novel adaptive partial packet recovery mechanism that is energy friendly. It can help prolonging the battery life of wireless sensor motes that are usually resource constrained. It dynamically partitions the frame into smaller blocks to avoid dropping the whole frame due to a single bit error. Also, Green-Frag is able to tolerate high interference and save energy by varying the transmit power based on channel quality and interference pattern. We experimentally evaluate the energy efficiency as well as goodput and delay of Green-Frag using our TelosB sensor mote testbed. We find that Green-Frag reduces energy consumption by 33% on average compared to the state of the art partial packet recovery scheme in the literature in the presence of Wi-Fi interference. In the worst case, this reduction in energy consumption comes at the cost of 10% reduction in goodput. Finally, Green-Frag reduces the latency by 22% on average compared to other static frame fragmentation schemes.
Original languageEnglish (US)
Pages (from-to)267-279
Number of pages13
JournalJournal of Network and Computer Applications
Volume58
DOIs
StatePublished - Aug 18 2015

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Green partial packet recovery in wireless sensor networks'. Together they form a unique fingerprint.

Cite this