PMID- 27437455
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20160720
LR  - 20200930
IS  - 2356-7872 (Print)
IS  - 2356-7872 (Electronic)
IS  - 2356-7872 (Linking)
VI  - 2014
DP  - 2014
TI  - Zone-Based Routing Protocol for Wireless Sensor Networks.
PG  - 798934
LID - 10.1155/2014/798934 [doi]
LID - 798934
AB  - Extensive research happening across the globe witnessed the importance of 
      Wireless Sensor Network in the present day application world. In the recent past, 
      various routing algorithms have been proposed to elevate WSN network lifetime. 
      Clustering mechanism is highly successful in conserving energy resources for 
      network activities and has become promising field for researches. However, the 
      problem of unbalanced energy consumption is still open because the cluster head 
      activities are tightly coupled with role and location of a particular node in the 
      network. Several unequal clustering algorithms are proposed to solve this 
      wireless sensor network multihop hot spot problem. Current unequal clustering 
      mechanisms consider only intra- and intercluster communication cost. Proper 
      organization of wireless sensor network into clusters enables efficient 
      utilization of limited resources and enhances lifetime of deployed sensor nodes. 
      This paper considers a novel network organization scheme, energy-efficient 
      edge-based network partitioning scheme, to organize sensor nodes into clusters of 
      equal size. Also, it proposes a cluster-based routing algorithm, called 
      zone-based routing protocol (ZBRP), for elevating sensor network lifetime. 
      Experimental results show that ZBRP out-performs interims of network lifetime and 
      energy conservation with its uniform energy consumption among the cluster heads.
FAU - Venkateswarlu Kumaramangalam, Muni
AU  - Venkateswarlu Kumaramangalam M
AD  - Department of Mathematical and Computational Sciences, National Institute of 
      Technology Karnataka, Mangalore 575025, India.
FAU - Adiyapatham, Kandasamy
AU  - Adiyapatham K
AD  - Department of Mathematical and Computational Sciences, National Institute of 
      Technology Karnataka, Mangalore 575025, India.
FAU - Kandasamy, Chandrasekaran
AU  - Kandasamy C
AD  - Department of Computer Science and Engineering, National Institute of Technology 
      Karnataka, Mangalore 575025, India.
LA  - eng
PT  - Journal Article
DEP - 20141118
PL  - United States
TA  - Int Sch Res Notices
JT  - International scholarly research notices
JID - 101641951
PMC - PMC4897105
EDAT- 2014/01/01 00:00
MHDA- 2014/01/01 00:01
PMCR- 2014/11/18
CRDT- 2016/07/21 06:00
PHST- 2014/06/17 00:00 [received]
PHST- 2014/10/20 00:00 [accepted]
PHST- 2016/07/21 06:00 [entrez]
PHST- 2014/01/01 00:00 [pubmed]
PHST- 2014/01/01 00:01 [medline]
PHST- 2014/11/18 00:00 [pmc-release]
AID - 10.1155/2014/798934 [doi]
PST - epublish
SO  - Int Sch Res Notices. 2014 Nov 18;2014:798934. doi: 10.1155/2014/798934. 
      eCollection 2014.