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Volumn , Issue , 2011, Pages

Hierarchical Adaptive Balanced energy efficient Routing Protocol (HABRP) for heterogeneous wireless sensor networks

Author keywords

Gateway; Network Clustering; Node failure; routing protocol; Wireless Sensor Networks

Indexed keywords

A-STABILITY; BALANCED ENERGY; CLUSTER HEAD; CLUSTERING TECHNIQUES; COMMUNICATION ENERGY; DESIGN ISSUES; ENERGY EFFICIENT; HETEROGENEOUS WIRELESS SENSOR NETWORKS; HIERARCHICAL ROUTING PROTOCOL; HIGH ENERGY; LIFE-TIMES; NETWORK CLUSTERING; NETWORK LIFETIME; NEW PROTOCOL; NODE FAILURE; PROBABILITY OF FAILURE; SENSING NODES; SIMULATION RESULT; TIME INTERVAL; WIRELESS SENSOR;

EID: 79961235420     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMCS.2011.5945618     Document Type: Conference Paper
Times cited : (22)

References (14)
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  • 7
    • 13944283393 scopus 로고    scopus 로고
    • A survey on routing protocols for wireless sensor networks
    • DOI 10.1016/j.adhoc.2003.09.010, PII S1570870503000738
    • K. Akkaya, M. Younis, A survey on routing protocols for wireless sensor networks, Ad Hoc Networks 3 (3) (2005) 325-349. (Pubitemid 40266054)
    • (2005) Ad Hoc Networks , vol.3 , Issue.3 , pp. 325-349
    • Akkaya, K.1    Younis, M.2
  • 9
    • 34548850872 scopus 로고    scopus 로고
    • A survey on clustering algorithms for wireless sensor networks
    • 15 October
    • Ameer Ahmed Abbasi and Mohamed Younis: A survey on clustering algorithms for wireless sensor networks, Computer Communications Volume 30, Issues 14-15, 15 October 2007, Pages 2826-2841.
    • (2007) Computer Communications , vol.30 , Issue.14-15 , pp. 2826-2841
    • Abbasi, A.A.1    Younis, M.2
  • 10
    • 79961237700 scopus 로고    scopus 로고
    • Enhanced-Efficient Adaptive Clustering Protocol for distributed sensor networks
    • I. Saha Misra, S. Dolui and A. Das, "Enhanced-Efficient Adaptive Clustering Protocol for distributed sensor networks", ICON 2005
    • ICON 2005
    • Saha Misra, I.1    Dolui, S.2    Das, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.