Secure ACO-Based Wireless Sensor Network Routing Algorithm for IoT

Sharmin, Afsah; Anwar, Farhat; Motakabber, S. M. A.; Hashim, Aisha-Hassan A.

doi:10.1109/iccce50029.2021.9467223

Cited by 5 publications

(7 citation statements)

References 11 publications

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“…The conventional technique is based on centralised network system. In centralised IoT based wireless sensor network, energy efficiency is degraded (11) . In proposed distributed IoT based wireless sensor network energy efficiency is improved.…”

Section: Resultsmentioning

confidence: 99%

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Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Shilpa¹,

Chetan²,

Anand³

2023

IJST

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Objectives: To improve the energy efficiency in IoT-based wireless sensor networks. To increase the sensor node lifetime in any wireless sensor network (WSN) based on the Energy-efficient cluster and routing in WSN. The advancement in the electronic industry has to develop the low powerconsuming and low-cost devices for multiple purposes. Methods: A new algorithm is proposed to improve the energy efficiency in IoT-based WSN for routing algorithms. The low power consuming devices are wisely chosen for the respected application and their power management. This study is intended to provide efficient routing algorithms with less energy consumption in wireless sensor networks. Findings: A wireless sensor network deployed with a number of non-static nodes in a communication network are beneficial for numerous fields such as the military, medical sector, structural health monitoring, transportation industries, etc. In this paper, the performance parameters like average throughput, average end-to-end delay, packet delivery ratio, average node energy, and normalized routing load are analyzed. Novelty: We designed and simulated the Distributed IoT-based wireless network system to analyze the information of nodes roaming in the vicinity of the zone area. In proposed technique energy efficiency is increased compared to the conventional algorithm. In node centric routing protocol, energy efficiency is increased from 55% to 68%. In data centric routing protocol, energy efficiency is increased from 65% to 75%. In source-initiated routing protocol, energy efficiency is increased from 68% to 80%. In destination-initiated routing protocol, energy efficiency is increased from 72% to 85%.

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Section: Resultsmentioning

confidence: 99%

“…We are defining the two ways of the message delivery system because there is a need for simple communication differences between the two (11,12) . The sensor node sends the information message communication to the Gateway end describes the quality-of-service degree.…”

Section: Exactly Once (2)mentioning

confidence: 99%

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Shilpa¹,

Chetan²,

Anand³

2023

IJST

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“…E Tx = L * E elec (6) The performance of the proposed AAR algorithm is compared with LEECH [17], LEECH-C [18], and FCM-DS-ACO [19] algorithms based onanumber of live nodes per round, a number of dead nodes per node, residual energy, a packet transmitted to BS and packet transmitted to CH. The proposed algorithm shows a better network lifetime as given in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…A wireless network thatconsistsof several nodes can provide an idealized network when network is formed in a "Cluster Head (CH)" manner, in which distributed nodes are trying to find out which node is closer to the destination node(CH) and collects all necessary data from neighboring nodes and process it and makethesimple task for other nodes as they will not be longer part of the network and helps to saves network energy [5]. Military Applications at the battlefield sincerely and very carefully make use of the WSN network as regular time and precisely delivery of information contained packet data is needed within a small interval of time [6]. Different kinds of attacks on the nodes may cause disturbance in the packet transmission and data may be lost through the affected node.…”

Section: Introductionmentioning

confidence: 99%

Biologically Inspired Energy Efficient Routing Protocol in Disaster Situation

Chavan,

Thorat,

Gunjal

et al. 2022

International Journal of Electronics and Telecommunications

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Wireless sensor network (WSN) plays a crucial role in many industrial, commercial, and social applications. However, increasing the number of nodes in a WSN increases network complexity, making it harder to acquire all relevant data in a timely way. By assuming the end node as a base station, we devised an Artificial Ant Routing (AAR) method that overcomes such network difficulties and finds an ideal routing that gives an easy way to reach the destination node in our situation. The goal of our research is to establish WSN parameters that are based on the biologically inspired Ant Colony Optimization (ACO) method. The proposed AAR provides the alternating path in case of congestion and high traffic requirement. In the event of node failures in a wireless network, the same algorithm enhances the efficiency of the routing path and acts as a multipath data transmission approach. We simulated network factors including Packet Delivery Ratio (PDR), Throughput, and Energy Consumption to achieve this. The major objective is to extend the network lifespan while data is being transferred by avoiding crowded areas and conserving energy by using a small number of nodes. The result shows that AAR is having improved performance parameters as compared to LEACH, LEACH-C, and FCM-DS-ACO.

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“…Fueled by the extensive use of systems of interconnected intelligent objects or things enabled by wireless technology such as radio frequency identification (RFID), Wi-Fi, Bluetooth, embedded sensor and actuator nodes, cell phones, IoT is transforming into a fully integrated future internet from the static internet that would provide autonomous, smart behavior and pervasive communication networks for smart connectivity and context-aware computation. This paper is an extension of work originally presented in ICCCE'21 [1].…”

Section: Introductionmentioning

confidence: 94%

A Secure Trust Aware ACO-Based WSN Routing Protocol for IoT

Sharmin¹,

Anwar²,

Motakabber³

et al. 2022

Adv. sci. technol. eng. syst. j.

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The Internet of Things (IoT) is the evolving paradigm of interconnectedness of objects with varied architectures and resources to provide ubiquitous and desired services. The popularization of IoT-connected devices facilitating evolution of IoT applications does come with security challenges. The IoT with the integration of wireless sensor networks possess a number of unique characteristics, so the implementation of security in such a restrictive environment is a challenging task. Due to the perception that security is expensive in terms of computation, power and user-interface components, and as sensor nodes or low-power IoT objects have limited resources, it is desired to design security mechanisms especially routing protocols that are light weighted. Bio-inspired mechanisms are shown to be adaptive to environmental variations, robust and scalable, and require less computational and energy resources for designing secure routing algorithms for distributed optimization. In IoT network, the malicious intruders can exploit the routing system of the standardized routing protocol, e.g., RPL (The Routing Protocol for Low-Power and Lossy Networks), that does not observe the node's routing behavior prior to data forwarding, and can launch various forms of routing attacks. To secure IoT networks from routing attacks, a secure trust aware ACO-based WSN routing protocol for IoT is proposed here that establishes secure routing with trustworthy nodes. The trust evaluation system, is enhanced to evaluate the node trust value, identify sensor node misbehavior, and maximize energy conservation. The performance of the proposed routing algorithm is demonstrated through MATLAB. Based on the proposed system, to find the secure and optimal path while aiming at providing trust in IoT environment, the average energy consumption is minimized by nearly 50% even as the number of nodes has increased, as compared with the conventional ACO algorithm, a current ant-based routing algorithm for IoT-communication, and a present routing protocol RPL for IoT.

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Secure ACO-Based Wireless Sensor Network Routing Algorithm for IoT

Cited by 5 publications

References 11 publications

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Biologically Inspired Energy Efficient Routing Protocol in Disaster Situation

A Secure Trust Aware ACO-Based WSN Routing Protocol for IoT

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