An energy-aware trust-based routing algorithm using gravitational search approach in wireless sensor networks

Zahedi, Abdulhamid; Parma, Faryad

doi:10.1007/s12083-018-0654-0

Cited by 32 publications

(22 citation statements)

References 16 publications

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“…An energy and trust based routing presented by Parma. F., [3], in which the best route is selected based on the hop_count, trust, energy and rate of flow of traffic on various routes and realized overhead on the network. However in case when WSN have more than one sink such as clustered WSN then this scheme shows inefficiency.…”

Section: Related Workmentioning

confidence: 99%

“…These limitations leads to consider and estimate the values of trust and energy for the network. Substantial saving of energy and desired outcomes can be obtained by making the security provisions in the network [3].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover direct and indirect trust were taken into consideration in Trust Dependent Link State Routing Protocol(TLSRP) scheme [17] except the calculation of confrontation of nodal attacks. Another promising multipath routing scheme Trust-Aware Routing Framework (TARF) [2] in WSN in which trustworthiness of neighbours is calculated, overlooks the routing dependencies on efficiency of energy usage and computes trust [3]. To support Opportunistic Routing(OR), every node prepare and maintain routing information in table in which default route indicates the shortest route between source and destination, also and the list of forwarders is consisting of next_hop nodes which will be then become the potential forwarders of the initiated data.…”

Section: Introductionmentioning

confidence: 99%

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Secure and Opportunistic Routing in WSN using Associative Secure Optimized Routing Algorithm

Patil*,

Deshpande,

Mane

2020

IJRTE

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Under wireless communication domain optimized routing for wireless networks is the trending scenario for research. Various older schemes faces performance issues such as consistency, alongside ensuring routing security which significantly causes performance degradation. Although the current mechanisms designed for routing are low-cost and precise positioning is also not essential but security still requires emphasis to be given during design. In this paper a secure and optimized routing technique is proposed for WSN mentioned as Associative Secure Optimized Routing (ASOR) Algorithm. Optimized data progression is the prime focus of ASOR alongside ensuring security to it. ASOR operates in two phases, in first phase it identifies and club the associative nodes based on the defined indulgent constant(IC) based on explicit trust, strength of link and link_quality parameters. Explicit trust and strength of link are directly measurable however to measure quality, survival time of link and the incurred delay are taken into consideration. Secondly the selection of optimized nodes using proposed ASOR is carried out through defined aptness function(AF) which is dependent on explicit_trust(ET), strength_of_link(SOL), node_quality(NQ) and distance. Proposed associative secure optimized routing scheme’s performance is evaluated based on metrics for adhoc sensor network of 100 dynamic nodes in the presence of worm_hole and black_hole attacks. Comparatively higher throughput and detection_rate whereas lower distance and delay are indicated by ASOR, which are relatively better than opposing methods. ASOR shows significantly high detection_rate and throughput as 55.7 and 44.1 respectively and comparatively less delay and distance as 13 and 168.2 which are significantly better than opposing methods. ASOR can be effectively used in WSN for real time application such as in agriculture, industries etc

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Secure and Opportunistic Routing in WSN using Associative Secure Optimized Routing Algorithm

Patil*,

Deshpande,

Mane

2020

IJRTE

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“…Whereas direct and indirect trust were considered in Trust dependent Link State Routing Protocol (TLSRP) algorithm [17].However confrontation of nodal attacks was not calculated. Trust-Aware Routing Framework (TARF) [2] in WSN is termed as multipath routing protocol which calculates the trustworthiness of the neighbours, defines the untrusted nodes and overlooking routing dependency on energy efficacy and calculation of trust [3].As a part of assisting OR, each node maintains routing table where default route refers to the shortest route with respect to source and destination nodes and the forward list is the composition of nodes for next_hop which are then the probable forwarder of the data. ROMER [18] is the OR that forward the multiple packets simultaneously over more than one path whereas MORE [19] incorporates network coding for the same and ExOR [20] is based on the random coding to realize multiple paths.…”

Section: Pritesh a Patil R S Deshpandementioning

confidence: 99%

“…These limitations of WSNs leads to confirm the estimation of network based on trust and energy values. Significant energy saving and appropriate results can be realized through ensuring security in the network [3]. Because of dynamic specifications, distributed and open nature of WSN routing is prone to various attacks [4], which affects the security and data.…”

Section: Introductionmentioning

confidence: 99%

Optimized and Secure Routing in WSN using Collaborative Optimized Routing Algorithm

Patil*,

Deshpande

2019

IJEAT

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Optimized routing in wireless network is the trending research area in ad-hoc wireless communication. Performance of outmoded schemes designed for security during the process of routing in sensor networks significantly affected by consistency and security issues. However the present routing schemes are inexpensive and need no rigorous positioning but security is still unavoidable apprehension. An optimized routing scheme is proposed for WSN in this paper which is named as Collaborative Optimized Routing Algorithm (CORA), which precisely focuses on optimized progression of data during routing along with security aspects. CORA functions in two phases, first phase is to identify and group the collaborative nodes through defined lenient constant based on direct_trust, link_strength and quality parameters. Direct_trust and link_strength are direct measures but to evaluate quality, link survival time and caused delay are considered. Whereas in second phase suit function is defined for choosing the optimized nodes using the proposed CORA, based on direct_trust, link_strength, quality and distance. Performance of proposed collaborative optimized routing scheme is assessed based on the measurement metrics with 50 dynamic nodes ad-hoc sensor network in presence of selective forwarding and denial-of-service attacks. CORA indicates the higher detection rate and throughput as 54.9 and 41.6 respectively and lower delay and distance as 15 and 158.8 respectively which are significantly better than competing schemes.

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Safe and secured routing using multi‐objective fractional artificial lion algorithm in WSN

Prakash

Kavitha

Reddy

2022

Concurrency and Computation

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The routing process in WSN needs to be more secure and safe, thus a secure routing process is carried out in this research, where the source node transmits packet simultaneously to destination. WSN nodes are simulated initially, and then the optimal cluster head (CH) from the entire nodes are selected. Here, CH selection is done with the developed Fractional Artificial Lion algorithm (FAL) method.The proposed FAL approach is introduced by combining fractional Calculus, Lion Optimization Algorithm (LOA), and the Artificial Bee Colony (ABC). Moreover, the fitness parameters, like delay, energy, distance, and link lifetime (LLT) where the minimal distance is chosen as the best path. Consequently, route maintenance is done after the secure routing. Moreover, the performance of devised FAL is compared with various performance metrics, like several alive nodes, energy, distance, and throughput. The developed FAL approach obtains a maximal alive node of 45, a minimal distance of 9.29 m, maximal energy of 0.14 J, and maximal throughput of 92.25%.

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An energy-aware trust-based routing algorithm using gravitational search approach in wireless sensor networks

Cited by 32 publications

References 16 publications

Secure and Opportunistic Routing in WSN using Associative Secure Optimized Routing Algorithm

Secure and Opportunistic Routing in WSN using Associative Secure Optimized Routing Algorithm

Optimized and Secure Routing in WSN using Collaborative Optimized Routing Algorithm

Safe and secured routing using multi‐objective fractional artificial lion algorithm in WSN

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