A Bio-Inspired Secure Routing Protocol for WSNs

2009

The field of wireless sensor networks (WSNs) is an important and challenging research area today. Advancements in sensor networks enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop routing in WSN is affected by new nodes constantly entering/leaving the system. Therefore, biologically inspired algorithms are reviewed and enhanced to tackle problems arise in WSN. Ant routing has shown an excellent performance for sensor networks. Certain parameters like energy level, link quality, lose rate are considered while making decisions. These decisions will come up with the optimal route. In this paper, the design and result of ant based autonomous routing algorithm for the sensor networks is presented. The proposed bio-inspired self-organized algorithm will also meet the enhanced sensor network requirements, including energy consumption, success rate and time.

The deployment of intelligent remote surveillance systems depends on wireless sensor networks (WSNs) composed of various miniature resourceconstrained wireless sensor nodes. The development of routing protocols for WSNs is a major challenge because of their severe resource constraints, ad hoc topology and dynamic nature. Among those proposed routing protocols, the biology-inspired self-organized secure autonomous routing protocol (BIOSARP) involves an artificial immune system (AIS) that requires a certain amount of time to build up knowledge of neighboring nodes. The AIS algorithm uses this knowledge to distinguish between self and non-self neighboring nodes. The knowledge-building phase is a critical period in the WSN lifespan and requires active security measures. This paper proposes an enhanced BIOSARP (E-BIOSARP) that incorporates a random key encryption mechanism in a cost-effective manner to provide active security measures in WSNs. A detailed description of E-BIOSARP is presented, followed by an extensive security and performance analysis to demonstrate its efficiency. A scenario with E-BIOSARP is implemented in network simulator 2 (ns-2) and is populated with malicious nodes for analysis. Furthermore, E-BIOSARP is compared with state-of-the-art secure routing protocols in terms of processing time, delivery ratio, energy consumption, and packet overhead. The findings show that the proposed mechanism can efficiently protect WSNs from selective forwarding, brute-force or exhaustive key search, spoofing, eavesdropping, replaying or altering of routing information, cloning, acknowledgment spoofing, HELLO flood attacks, and Sybil attacks. Abstract Full-Text HTML

2021

Wireless networks with their attractive features are finding popularity in many applications such as remote surveillance, military, civil, environment monitoring, etc. The wireless networks are usually deployed in hostile environments. It is difficult to change the batteries in such conditions so there is a need to conserve energy. In this work, a review of different types of bio-inspired algorithms is presented along with the detailed study of the artificial fish swarm optimization (AFSO) algorithm and its applications are discussed. The algorithm has four functions that are derived from the fish behaviors in fish swarms. This algorithm involves many characteristics such as high convergence speed, fault tolerance which help in solving the optimization problems. It is observed that the combination of AFSO with other clustering algorithms and different routing protocols provides greater accuracy in node formation and routing of the wireless networks. Furthermore, the comparative analysis is made by considering the AFSO protocols in different works with advantages and disadvantages.

TENCON 2009 - 2009 IEEE Region 10 Conference, 2009

Currently, the field of wireless sensor networks (WSNs) is becoming increasingly important and a challenging research area. Advancements in sensor networks enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop routing in WSN is affected by new nodes constantly entering or leaving the network. Therefore, nature based self-organized and independent mechanisms are required to tackle problems arising in WSN. The ant inspired routing has shown an excellent performance for WSNs. In this paper, a model of cross layer architecture based self-organized autonomous routing algorithm for WSN and its results are presented. Certain parameters like energy level, link quality and velocity are considered. Energy level and link quality metrics are trade in from physical layer to network layer for discovering an optimal route and also in initialization process. These decisions will come up with the optimal and organized route for WSN.

In order to increase network life time scalable, efficient and adaptive routing protocols are need of current time. Many energy efficient protocols have been proposed, the Clustering algorithm is also a basic technique used for energy efficiency. In this paper we propose an energy efficient routing protocol that is based on Artificial Bee Colony (ABC) algorithm of Bio Inspired. The presented protocol efficiently utilized characteristics of ABC algorithm such as foraging principle and waggle dance of honey bees. Waggle dance technique is used to find Routing Node (RN) that has maximum energy. Simulation results proves increase network life time and high throughput with minimum delay.

International Journal of Computer Applications, 2013

Wireless Sensor Networks (WSNs) have attracted intensive interest from both academia and industry due to their wide application in civil and military scenarios. Recently, there is a great interest related to routing process in WSNs. Security aspects in routing protocols have not been given enough attention, since most of the routing protocols in WSNs have not been designed with security requirements in mind. This paper surveys the current challenges of WSN. It will focus on the attempts of building an Artificial Intelligence (AI) based routing protocols in WSNs. This paper also identifies the WSN security trends and threats. The paper also addresses some examples of how to use artificial intelligence in the routing algorithms and shows the advantages and the drawbacks of each. A proposed framework also has been introduced. Finally, the future directions of WSNs have been declared.

IAEME PUBLICATION, 2020

Nowadays, WSN has adopted with more desirable characteristics including self organization, easy deployment, which are more important in modern society. However, prolonging the network lifetime seems to be the most critical problem and hence more works have been done by different researchers. In the view of this issue, this paper intends to propose a security aware routing protocol as the security of network is always a barrier in any applications. In fact, this paper introduces an optimal route selection model via proposing a new hybrid algorithm. Along with the energy consumption, the proposed protocol considers the security of the network in selecting the best route path, which is attained by defining single objective function. Moreover, the proposed hybrid algorithm is the combination of Dragonfly (DA) Algorithm and Whale Optimization Algorithm (WOA) termed as Dragon Updated Whale Optimization Algorithm (DU-WOA). Moreover, the security consideration in the paper deals with the introduction of certain security modes like high security, medium security and risky as well. Finally, the performance of proposed work is compared over state-of-the-art models with respect to delay, energy, packet loss, and throughput, respectively.

Imperial journal of interdisciplinary research, 2017

Wireless Sensor Networks (WSNs) is one of the most upcoming research area in computer science. Many issues such as clustering, routing and security problems were addressed by the latest interdisciplinary science. Now a days the Bio-Inspired Computing algorithms becomes more popular to solve the various issues of computer science field. Bio- Inspired Computing algorithms are the excellent behavior of the various species which is used for their life saving methods. This paper will have the review on Bio- inspired computing Algorithms which is specifically used in solving security problems in WSNs.

2010

In Wireless Sensor Networks (WSNs), sensors may be deployed in hostile environments or in some security-sensitive applications exposing them to tampering and to many several security issues. As such, developing secure routing protocols for sensor networks is a crucial issue. The heart of security protocols is the key distribution algorithm. Many key distribution protocols were proposed in WSNs, but most of these protocols lack the adaptivity to network conditions. In this paper, we propose a novel hierarchical and secure routing protocol with innovative key distribution for WSNs. The proposed protocol offers a tradeoff between the desired degree of security and energy consumption by controlling two parameters: key length threshold and the length of the new generated key, hence the adaptive feature. We use a uniform attack distribution to model attack frequency for the sake of evaluating the performance of the protocol response. When compared to other protocols (e.g., Trusted BS and a pair wise key pre-distribution), our protocol shows enhanced performance with low overhead.

Network and Complex Systems, 2014

Wireless Sensor Networks (WSN) are receiving significant importance in the present scenario owing to their unlimited potential and world wide applications. The routes in the network are determined by the most secured and energy efficient routing protocols and these energy efficient routing protocols employed for WSNs are the Hierarchical or cluster based routing protocols that are essential for path computation in sensor networks. Since most of the hierarchical routing protocols aim to be developed as energy efficient, the security issues are not given much importance most of the times. But in certain applications such as military or battle field the data is to be maintained secret while communicating between sensor nodes and basin so security issues are also required to be focused in developing routing protocols. Keeping in view above in this paper we intend to present the various security issues involved while designing the hierarchical routing protocol for a specific WSN and the design challenges while studying different hierarchical based routing protocols.