An approach to detect black hole attack for congestion control utilizing mobile nodes in wireless sensor network

Author(s):  
S. Suma ◽  
Bharati Harsoor
2018 ◽  
Vol 24 (3) ◽  
pp. 1791-1794 ◽  
Author(s):  
Khairul Akram Zainol Ariffin ◽  
Rozita Mohd Mokhtar ◽  
Abdul Hadi Abd Rahman

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
R. Beulah Jayakumari ◽  
V. Jawahar Senthilkumar

Wireless sensor network is widely used to monitor natural phenomena because natural disaster has globally increased which causes significant loss of life, economic setback, and social development. Saving energy in a wireless sensor network (WSN) is a critical factor to be considered. The sensor nodes are deployed to sense, compute, and communicate alerts in a WSN which are used to prevent natural hazards. Generally communication consumes more energy than sensing and computing; hence cluster based protocol is preferred. Even with clustering, multiclass traffic creates congested hotspots in the cluster, thereby causing packet loss and delay. In order to conserve energy and to avoid congestion during multiclass traffic a novel Priority Based Congestion Control Dynamic Clustering (PCCDC) protocol is developed. PCCDC is designed with mobile nodes which are organized dynamically into clusters to provide complete coverage and connectivity. PCCDC computes congestion at intra- and intercluster level using linear and binary feedback method. Each mobile node within the cluster has an appropriate queue model for scheduling prioritized packet during congestion without drop or delay. Simulation results have proven that packet drop, control overhead, and end-to-end delay are much lower in PCCDC which in turn significantly increases packet delivery ratio, network lifetime, and residual energy when compared with PASCC protocol.


2019 ◽  
Vol 148 ◽  
pp. 552-561 ◽  
Author(s):  
Hanane Kalkha ◽  
Hassan Satori ◽  
Khalid Satori

2019 ◽  
Vol 8 (4) ◽  
pp. 12645-12650

Wireless Sensor Network (WSN) is widely gaining fame since it has theoretically unavoidable unlimited applications. Security stays a significant challenge for WSN because for a few feeble substances like open remote medium, dynamic topology, absence of centralized infrastructure and intermittent network connectivity. Dark gap assault is a sort of Denial of Service (DoS) attack, which influences reliability of a system by diverting and dropping genuine packets in the system. Black hole attack ends up being progressively extraordinary when number of threatening nodes participate to show Black hole attack in the framework, which is named as a helpful black hole attack. In this paper, we showed an Enhanced Detection and Prevention Mechanism for Black hole Attack (EDPMBA) Trust Model to save the assurance from single and helpful black hole attack. EDPMBA additionally shows better execution as far delay and packet conveyance proportion.


Author(s):  
Chao Wang

Background: It is important to improve the quality of service by using congestion detection technology to find the potential congestion as early as possible in wireless sensor network. Methods: So an improved congestion control scheme based on traffic assignment and reassignment algorithm is proposed for congestion avoidance, detection and mitigation. The congestion area of the network is detected by predicting and setting threshold. When the congestion occurs, sensor nodes can be recovery quickly from congestion by adopting reasonable method of traffic reassignment. And the method can ensure the data in the congestion areas can be transferred to noncongestion areas as soon as possible. Results: The simulation results indicate that the proposed scheme can reduce the number of loss packets, improve the throughput, stabilize the average transmission rate of source node and reduce the end-to-end delay. Conclusion: : So the proposed scheme can enhance the overall performance of the network. Keywords: wireless sensor network; congestion control; congestion detection; congestion mitigation; traffic assignment; traffic reassignment.


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