Aug 2026· Journal of Intelligent Decision Making and Information Science· 0 citations· 20 references
TL;DR
The results validate the utility of the proposed approach in the provision of trust-based, energy-efficient, and secure routing in the dynamic MWSNs and demonstrate that the given framework outcompetes the existing ones.
Abstract
Mobile wireless sensor networks application requires secure and efficient communication that is possible only through the operation of Mobile Wireless Sensor Networks (MWSNs). MWSNs possess certain special problems due to the fact that it is mobile, energy-constrained, dynamical topological and vulnerable to security problems. The existing routing systems like cluster and ad hoc routing systems are typified by high energy consumption, unsuitability to address misbehavior by nodes, inability to engage in trust-based routing and inefficient protection against malicious attacks that renders networks inefficient and less reliable. In order to address these deficiencies, this paper proposes a security aware and energy efficient routing scheme as a combination of Path Optimization Mechanism in MWSN (POM-MWSN) and the Security Trust-aware Adaptive Routing with Cross Layer (STARC) model. POM-MWSN takes into account the node connectivity, energy and mobility and constructs the optimization route where STARC takes into account the trust assessment, cross layer routing and selection of hybrid cluster head to attain the secure and reliable communication. The proposed solution will be a special hybrid of energy-aware way optimization and faith-based routing and attack detection, which will render the network working strong and effective. Numerous simulations demonstrate that the given framework outcompetes the existing ones and achieves end-to-end delay of 0.005 ms, higher throughput of 80,000–84,000 bytes, packet delivery ratio of 237 packets, residual energy of 99.7 J, and overhead 12,450 packets and cost of communication 2985 bits. The results validate the utility of the proposed approach in the provision of trust-based, energy-efficient, and secure routing in the dynamic MWSNs.
Simulation analyses conducted in NS-3 demonstrate that the proposed integrated, multi-tier optimization framework achieves superior performance in terms of Packet Delivery Ratio (PDR), energy conservation, end-to-end latency, and resilience against malicious routing attacks compared to existing baseline protocols.
Jitendra Kumar, Debasis Mandal· International journal of res...· 0 citations
The 5G-enabled Wireless Sensor Networks (WSN) use the increased capabilities of 5G technology to represent the next version of conventional WSN environments. WSN performance may be affected by interference from high-density 5 G networks. The novel Hummingbird-based Graph Bernoulli Binomial Trust Management Network (HBbGBBTMN) proposed in this research is to enhance smart, secure, and energy-saving routing in 5G-enabled wireless networks. Python is initially used to simulate and model the network under consideration, accounting for fluctuating network conditions and dynamic node dynamics. An improved Hummingbird algorithm is used to detect and remove nodes with high energy consumption, thereby minimizing routing inefficiencies and avoiding suspicious behavior. To protect data integrity and prevent route disruption, malicious nodes are continuously detected and removed. The trust of the remaining nodes is calculated using the Bernoulli-Binomial distribution, which estimates each node's trust based on its previous packet-forwarding history. Such trust mechanisms are combined with node energy levels as well as network dynamics to form a fitness function that identifies optimal routing patterns. The suggested system is validated through extensive performance analysis, including measurements of packet delivery ratio, throughput, packet drop rate, delay, and malicious node prediction accuracy. The findings indicate that in decentralized wireless environments, HBbGBBTMN significantly enhances network efficiency, security, and dependability.
S. M., Mrinal Sarvagya· International Journal of Inf...· 0 citations
By integrating trust-driven node selection, adaptive mobility, and energy-efficient routing, TLAOR improves the reliability, security, and performance of MANETs under simulated conditions and significantly reduces energy consumption.
Bidisha Banerjee, S. Neogy· Peer-to-Peer Networking and...· 0 citations
These findings verify that MANET transmission is demonstrably enhanced and safer when trust, congestion, and QoS are all addressed concurrently at a particular transit level as opposed to individual-criterion techniques.
Sonia Singhal, A. Kush· JOURNAL OF MECHANICS OF CONT...· 0 citations
MANETs for the Internet of Things (IoT) are evolving to the next level of robust connectivity. However, the MANET-IoT ecosystem faces three main challenges during routing: energy efficiency, security, and reliability. By using various frameworks and technologies to provide an end-to-end solution, Bayesian Directed Acyclic Graph based Mobile Adhoc Networks (BDAG-MANET) and Holochain Mobile Adhoc Networks (Holochain-MANET) address those problems with MANET data transfer. BDAG-MANET uses the Cube Hash and Bimodal Lattice Signature Scheme (BLISS) algorithms, respectively, to perform multifactor authentication to the mobile nodes depending on the security credentials. NS-3.26 simulation tool is used to implement PSO (particle swarm optimization) based on Trusted Adhoc on Demand Vector Routing (TAODV) to ensure security. The numerous properties of the mobile nodes in the Holo chain-MANET environment must be used to verify their validity to the trusted authority, utilizing the Improved Bimodal Lattice Signature Scheme (IBLISS) algorithm. The proposed work uses the Improved Fuzzy C-Means (IFCM) algorithm to perform intelligent clustering on authorized mobile nodes based on many factors.
Preethi D, S. Aswath, Bhuvaneshwari V et al.· 2026 International Conferenc...· 0 citations
Wireless sensor networks (WSNs) enabling the Internet of Things require accurate and secure sensor localization to function reliably. It is important to note that in real‐world deployments, security threats such as false location reporting, Sybil attacks, and falsification of spectrum sensing data continue to significantly degrade localization accuracy and network reliability. The localization of sensors is a fundamental issue in heterogeneous Wireless Sensor Networks (WSNs) in IoT systems, and it needs to be accurate and secure. But current localization methods still have the issues of Primary User Emulation (PUE), Spectrum Sensing Data Falsification (SSDF), Sybil and jamming attacks. In this paper, an intelligent trust‐based localization system which combines multidimensional trust assessment with a modified Artificial Bee Colony (ABC) optimization algorithm for secure routing is proposed. The framework calculates direct and indirect trust scores to detect malicious nodes and to form a trustworthy communication network. The results of the simulations show that the proposed approach has higher packet delivery ratio, higher throughput and lower end‐to‐end delay than the existing approaches. The proposed framework offers a secure, reliable and scalable solution to support heterogeneous IoT enabled WSN applications.
Unknown authors· Internet Technology Letters· 0 citations
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