PMID- 31537014
OWN - NLM
STAT- MEDLINE
DCOM- 20200309
LR  - 20200309
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 14
IP  - 9
DP  - 2019
TI  - RCER: Reliable Cluster-based Energy-aware Routing protocol for heterogeneous 
      Wireless Sensor Networks.
PG  - e0222009
LID - 10.1371/journal.pone.0222009 [doi]
LID - e0222009
AB  - Nowadays, because of the unpredictable nature of sensor nodes, propagating 
      sensory data raises significant research challenges in Wireless Sensor Networks 
      (WSNs). Recently, different cluster-based solutions are designed for the 
      improvement of network stability and lifetime, however, most of the energy 
      efficient solutions are developed for homogeneous networks, and use only a 
      distance parameter for the data communication. Although, some existing solutions 
      attempted to improve the selection of next-hop based on energy factor, 
      nevertheless, such solutions are unstable and lack a reducing data delivery 
      interruption in overloaded links. The aim of our proposed solution is to develop 
      Reliable Cluster-based Energy-aware Routing (RCER) protocol for heterogeneous 
      WSN, which lengthen network lifetime and decreases routing cost. Our proposed 
      RCER protocol make use of heterogeneity nodes with respect to their energy and 
      comprises of two main phases; firstly, the network field is parted in 
      geographical clusters to make the network more energy-efficient and secondly; 
      RCER attempts optimum routing for improving the next-hop selection by considering 
      residual-energy, hop-count and weighted value of Round Trip Time (RTT) factors. 
      Moreover, based on computing the measurement of wireless links and nodes status, 
      RCER restore routing paths and provides network reliability with improved data 
      delivery performance. Simulation results demonstrate significant development of 
      RCER protocol against their competing solutions.
FAU - Haseeb, Khalid
AU  - Haseeb K
AUID- ORCID: 0000-0001-6657-9308
AD  - Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan.
FAU - Abbas, Naveed
AU  - Abbas N
AD  - Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan.
FAU - Saleem, Muhammad Qaisar
AU  - Saleem MQ
AD  - School of Electrical Engineering and Computer Science, National University of 
      Science and Technology, Islamabad, Pakistan.
FAU - Sheta, Osama E
AU  - Sheta OE
AD  - College of Science, Zagazig University, Zagazig, Egypt.
FAU - Awan, Khalid
AU  - Awan K
AUID- ORCID: 0000-0002-0239-3528
AD  - Department of Computer Science, Comsats University Islamabad, Attock, Pakistan.
FAU - Islam, Naveed
AU  - Islam N
AD  - Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan.
FAU - Ur Rehman, Waheed
AU  - Ur Rehman W
AD  - Department of Computer Science, University of Peshawar, Peshawar, Pakistan.
FAU - Salam, Tabinda
AU  - Salam T
AD  - Department of Computer Science, Shaheed Benazir Bhutto Women University, 
      Peshawar, Pakistan.
LA  - eng
PT  - Journal Article
DEP - 20190919
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
EIN - PLoS One. 2019 Oct 17;14(10):e0224319. PMID: 31622435
MH  - Algorithms
MH  - Cluster Analysis
MH  - Computer Communication Networks
MH  - Reproducibility of Results
MH  - Time Factors
MH  - Wireless Technology/*instrumentation
PMC - PMC6752959
COIS- The authors have declared that no competing interests exist.
EDAT- 2019/09/20 06:00
MHDA- 2020/03/10 06:00
PMCR- 2019/09/19
CRDT- 2019/09/20 06:00
PHST- 2019/01/09 00:00 [received]
PHST- 2019/08/20 00:00 [accepted]
PHST- 2019/09/20 06:00 [entrez]
PHST- 2019/09/20 06:00 [pubmed]
PHST- 2020/03/10 06:00 [medline]
PHST- 2019/09/19 00:00 [pmc-release]
AID - PONE-D-19-00732 [pii]
AID - 10.1371/journal.pone.0222009 [doi]
PST - epublish
SO  - PLoS One. 2019 Sep 19;14(9):e0222009. doi: 10.1371/journal.pone.0222009. 
      eCollection 2019.