Any system or network is always susceptible to attacks. If an adversary has access to the network, they may disrupt the network in several ways. Sybil attack, selective forwarding, tampering, etc., are some of the attacks that disrupt the network. If the sensor network is employed in critical areas such as warzones or border protection systems, any attack or breach of security may prove to be fatal. Therefore, proper security mechanisms have to be integrated into the system to ensure that the data remains secure. In our project, we intend to identify and isolate the compromised nodes that selectively forwards data packets. The proposed protocol uses a reputation based system to determine the integrity of the neighboring nodes. Once a compromised node has been identified, that node is excluded from further communication after verification from base station.
Recently, energy harvesting wireless sensor networks (EHWSN) have increased significant attention among research communities. By harvesting energy from the neighboring environment, the sensors in EHWSN resolve the energy constraint problem and offers lengthened network lifetime. Clustering is one of the proficient ways for accomplishing even improved lifetime in EHWSN. The clustering process intends to appropriately elect the cluster heads (CHs) and construct clusters. Though several models are available in the literature, it is still needed to accomplish energy efficiency and security in EHWSN. In this view, this study develops a novel Chaotic Rider Optimization Based Clustering Protocol for Secure Energy Harvesting Wireless Sensor Networks (CROC-SEHWSN) model. The presented CROC-SEHWSN model aims to accomplish energy efficiency by clustering the node in EHWSN. The CROC-SEHWSN model is based on the integration of chaotic concepts with traditional rider optimization (RO) algorithm. Besides, the CROC-SEHWSN model derives a fitness function (FF) involving seven distinct parameters connected to WSN. To accomplish security, trust factor and link quality metrics are considered in the FF. The design of RO algorithm for secure clustering process shows the novelty of the work. In order to demonstrate the enhanced performance of the CROC-SEHWSN approach, a wide range of simulations are carried out and the outcomes are inspected in distinct aspects. The experimental outcome demonstrated the superior performance of the CROC-SEHWSN technique on the recent approaches with maximum network lifetime of 387.40 and 393.30 s under two scenarios.
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