Neighbor Knowledge-based Rebroadcast algorithm for minimizing the routing overhead in Mobile Ad-hoc Networks

Robinson, Y. Harold; Krishnan, R. Santhana; Julie, E. Golden; Kumar, Raghvendra; Sơn, Lê Hoàng; Thong, Pham Huy

doi:10.1016/j.adhoc.2019.101896

Cited by 45 publications

(11 citation statements)

References 39 publications

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“…The standard time interval of every packet that is arriving at the destination is fixed based on the request/response round trip time/delay. In the proposed mechanism, the request/response round trip time/delay is demanded by a packet to travel from an origin to a finishing terminus [27]. This might be calculated by combining the time demanded by a packet to travel from the finishing terminus to a source (i.e., acknowledgment).…”

Section: Figure 2 Activities Of Attacker Detection Automation Of Beesmentioning

confidence: 99%

Intelligent route discovery towards rushing attacks in ad hoc wireless networks

Allimuthu

Mahalakshmi

2021

J Ambient Intell Human Comput

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MANET (Mobile Ad-hoc Networks) are distributed or delegated away from a central server, authoritative location of wireless networks that communicate without pre-existing structure. Ad-hoc networks are compromising the many types of attacks and routing. In MANET, the routing plays a vital role in terms of packets interaction and data transmission. Due to decentralized control, the MANET data transmission becomes insecure because of dispersed routing on the mobile ad-hoc nodes. Since the efficient route on MANET only controls the packets and does not simplify the route between the source to the destination, the maintenance of route interaction becomes a crucial process. Maintain effective data transactions over the MANET network, and it is essential to improve the route and locate the attacker. Nevertheless, MANET allows for route interaction against security threads. In this research article, four processing schemes are suggested to preserve the security measures against routing protocols. Especially in node communication, the rushing attacker has a significant impact on packet-based data transmission in MANET. Also, for this research, an Attacker detection automation of the Bees Colony Optimization (ADABCP) method is used, as a result of which the desired result is brought about in the effective attacker detection on the routing process. Moreover, the proposed Hybrid Random Late Detection (HRLD) routing protocol manages the MANET routing and overcomes the MANET congestion communication. The Swift Implicit Response Round Trip Time (SIRT) mechanism is generated by the Route Finding Manipulation (RFM) to enhance the performance. This RFM scheme helps to find the optimal routing in a secured manner. The proposed (SIRT-ADABCP-HRLD) approach was compared to the existing ESCT, ZRDM-LFPM, and ENM-LAC approaches, found to have improved by routing and data transmission. Compared to the conventional method, the method mentioned above achieves a better ratio for the end-to-end delay, communication overhead, packet delivery ratio, network lifetime, and energy consumption.

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Section: Figure 2 Activities Of Attacker Detection Automation Of Beesmentioning

confidence: 99%

Intelligent route discovery towards rushing attacks in ad hoc wireless networks

Allimuthu

Mahalakshmi

2021

J Ambient Intell Human Comput

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“…Many of the ad hoc routing protocols rely on advertising HELLO packets for route discovery. Most of them use physical layer parameters such as a line of sight (LOS), energy levels, directional communication links, and signal-strength-based distance measurements [27,28]. However, these approaches consume significant time to operate and use extensive bandwidth resources to find neighbors rather than send data.…”

Section: Route Discovery Using Nbr_tablementioning

confidence: 99%

A Novel Self-Forming Virtual Sub-Nets Based Cross-Layer MAC Protocol for Multihop Tactical Network

et al. 2021

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A tactical network mainly consists of software-defined radios (SDRs) integrated with programmable and reconfigurable features that provide the addition and customization of different waveforms for different scenarios, e.g., situational awareness, video, or voice transmission. The network, which is mission-critical, congested, and delay-sensitive, operates in infrastructure-less terrains with self-forming and self-healing capabilities. It demands reliability and the need to survive by seamlessly maintaining continuous network connectivity during mobility and link failures. SDR platforms transfer large amounts of data that must be processed with low latency transmissions. The state-of-the-art solutions lack the capability to provide high data throughput and incorporate overhead in route discovery and resource distribution that is not appropriate for resource-constrained mission-critical networks. A cross-layer design exploits existing resources to react to environment changes efficiently, enable reliability, and escalate network throughput. A solution that integrates SDR benefits and cross-layer optimization can perform all the mentioned operations efficiently. In tactical networks, SDR’s maximum usable bandwidth can be utilized by exploiting radios’ autonomous behavior. This paper presents a novel virtual sub-nets based cross-layer medium access control (VSCL-MAC) protocol for self-forming multihop tactical radio networks. It is a MAC-centric design with cross-layer optimization that enables dynamic routing and autonomous time-slot scheduling in a multichannel network environment among SDRs. The cross-layer coupling uses link-layer information from the hybrid of time division multiple access and frequency division multiple access (TDMA/FDMA) MAC to proactively enable distributed intelligent routing at the network layer. The virtual sub-nets based distributed algorithm exploits spectrum resources and provides call setup with persistently available k-hop route information and simultaneous collision-free transmission of voice and data. The experimental results over extensive simulations show significant performance improvements in terms of minimum control overhead, processing time in relay nodes, a substantial increase in network throughput, and lower data latency (up to 76.98%) compared to conventional time-slotted MAC protocols. The design is useful for mission-critical, time-sensitive networks and exploits multihop simultaneous communication in a distributed manner.

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“…Further studies will create an adapted and responsive web application with the help of MQTT and machine learning methods [51][52][53][54][55][56][57][58][59][60][61] to allow users to interact by topics against smart wireless robots with minimal efforts.…”

Section: Adapting a Lower Response Time Consumesmentioning

confidence: 99%

Internet of Green Things with autonomous wireless wheel robots against green houses and farms

Ram

Ravimaran²,

Krishnan

et al. 2020

International Journal of Distributed Sensor Networks

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Nowadays, smart farming involves the integration of advanced technologies that incorporate low-cost robots to meet the required knowledge and maintain the health of plants in farming. Technologies like precision agriculture are also used to optimize resources based on the field condition. Internet of Green Things is also one of the technologies to integrate and share the information between people and healthy farm things. Internet of Green Things gives the information like soil moisture, temperature, humidity, and nutrient level by means of respective sensors. Monitoring and information gathering in green houses with the help of robots is a tedious and expensive process. In this connection, information is shared among low-cost robots encouraging data availability of the current state of a plant with other robots. This will emphasize the monitoring of green houses in a well-organized way. In this article, a Flask-based framework through Raspberry Pi is proposed for interoperability among the low-cost ESP8266 robots. Data gathering is performed by smart robots that are accessible through Message Queuing Telemetry Transport subscribes by means of Representational State Transfer Application Programming Interface. A cloud-like database server is provided to stock up the data. The integration of robotics with Internet of Green Things gains more advantage in gathering about spatial information data that are connected with the irrigation. Visualization techniques and perspectives based on Internet of Green Things for precision agriculture in the field of farming are highlighted.

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Neighbor Knowledge-based Rebroadcast algorithm for minimizing the routing overhead in Mobile Ad-hoc Networks

Cited by 45 publications

References 39 publications

Intelligent route discovery towards rushing attacks in ad hoc wireless networks

Intelligent route discovery towards rushing attacks in ad hoc wireless networks

A Novel Self-Forming Virtual Sub-Nets Based Cross-Layer MAC Protocol for Multihop Tactical Network

Internet of Green Things with autonomous wireless wheel robots against green houses and farms

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