ENERGY PROFICIENT AND SECURED ROUTING ARCHITECTUREUSING WSN FOR HABITAT MONITORING

被引:0
作者
Ramamoorthy, H. Vignesh [1 ,2 ]
Gunavathi, R. [2 ]
机构
[1] Sri Krishna Arts & Sci Coll, Dept Informat Technol, Coimbatore, Tamil Nadu, India
[2] Sree Saraswathi Thyagaraja Coll, PG Dept Comp Applicat, Pollachi, TN, Italy
来源
INTERNATIONAL JOURNAL OF LIFE SCIENCE AND PHARMA RESEARCH | 2020年
关键词
Amplification; Adhoc; Optimization; Swarm; Topology; Wildlife; WIRELESS SENSOR NETWORKS; EFFICIENT;
D O I
暂无
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Technology can help the animals and plants for their identification, monitoring and studying their behavior pattern. The proposed architecture can be a reliable routing strategy which can be implemented for the efficient Habitat monitoring in Wildlife. A Wireless Sensor Network (WSN) consists of tiny sensor nodes to sense the environment, where it is actually deployed. The collection information is forwarded periodically to the Base Station (BS). Low cost, high reliability and easy maintenance are the key features to design a routing protocol. The proposed protocol Efficient Route Recovery with Secured and Energy Proficient Routing (ERRSEPR) focuses in minimal energy consumption on each node is carried out using minimal energy, power amplification and efficient routing technique to improve lifetime of the network. It also detects blackhole attack on the network with finding the optimal routing and rerouting using fault tolerant. The optimal routing is obtained using the combination of Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). The proposed ERRSEPR has unique behavior in searching optimal path, balancing the network load and network topology maintenance. The proposed ERRSEPR protocol is applied to Ad-hoc On-demand Distance Vector (AODV) routing protocol and the experiment is tested using network simulator 3. The extensive simulation experimental results show that the proposed protocol outperforms than the other several routing protocols.
引用
收藏
页码:91 / 97
页数:7
相关论文
共 22 条
  • [1] Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm
    Abu-Mouti, Fahad S.
    El-Hawary, M. E.
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2011, 26 (04) : 2090 - 2101
  • [2] Wireless sensor networks: a survey
    Akyildiz, IF
    Su, W
    Sankarasubramaniam, Y
    Cayirci, E
    [J]. COMPUTER NETWORKS, 2002, 38 (04) : 393 - 422
  • [3] ALQURAIDI AO, 2019, INT J ENG ADV TECHNO, V8, DOI DOI 10.3390/PLANTS8010019
  • [4] Amirthalingam K, 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER APPLICATIONS (ICACA), P255, DOI 10.1109/ICACA.2016.7887961
  • [5] [Anonymous], 2016, WIRELESS SENSOR NETW
  • [6] [Anonymous], 2010, UNIVERSAL J COMPUTER
  • [7] Barati M., 2012, INT C COMP INF SCI I, V2
  • [8] Fingerprint Synthesis: Evaluating Fingerprint Search at Scale
    Cao, Kai
    Jain, Anil K.
    [J]. 2018 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB), 2018, : 31 - 38
  • [9] Carie A., 2019, J AMBIENT INTELLIGEN, P1
  • [10] Energy efficient and QoS-aware routing protocol for wireless sensor network-based smart grid applications in the context of industry 4.0
    Faheem, M.
    Gungor, V. C.
    [J]. APPLIED SOFT COMPUTING, 2018, 68 : 910 - 922