A Review of the Energy Efficient and Secure Multicast Routing Protocols for Mobile Ad hoc Networks

This paper presents a thorough survey of recent work addressing energy efficient multicast routing protocols and secure multicast routing protocols in Mobile Ad hoc Networks (MANETs). There are so many issues and solutions which witness the need of energy management and security in ad hoc wireless networks. The objective of a multicast routing protocol for MANETs is to support the propagation of data from a sender to all the receivers of a multicast group while trying to use the available bandwidth efficiently in the presence of frequent topology changes. Multicasting can improve the efficiency of the wireless link when sending multiple copies of messages by exploiting the inherent broadcast property of wireless transmission. Secure multicast routing plays a significant role in MANETs. However, offering energy efficient and secure multicast routing is a difficult and challenging task. In recent years, various multicast routing protocols have been proposed for MANETs. These protocols have distinguishing features and use different mechanismsComment: 15 page

QUANTUM PHASE SHIFT FOR ENERGY CONSERVED SECURED DATA COMMUNICATION IN MANET

A Mobile Ad-Hoc Network(MANET) is a structure-less network where the mobile nodes randomly moved in any direction within the transmission range of the network. Due to this mobility, wide range of intrusion occurs in MANET. Therefore, Intrusion Detection Systems (IDS) are significant in MANETs to identify the malicious behavior. In order to improve the secured data communication an efficient Quantum Phase Shift Energy Conserved Data Security (QPSEC-DS) technique is introduced. The Quantum Phase Shift (QPS) technique is used for ensuring the security during the data transmission from sender to receiver in MANET. Initially, the quantum based approach is used to encrypt the information using QPS at the sender through secret key distribution. The receiver side also performs the same QPS, and then the encrypted bit is received successfully. This in turns attains the secured packet transmission without any malicious node in the MANET. Based on the phase shifting, the energy conservation between the sender and receiver is measured for transmitting the data packet using QPSEC-DS technique. Also, the enhanced Dynamic Source Routing (DSR) protocol is applied in QPSEC-DS technique is implemented to improve the energy management and secured data communication between the source and destination in an efficient manner. The QPSEC-DS technique conducts the simulations work on parameters including packet delivery ratio, energy consumption, communication overhead and end to end delay

Fuzzy enhanced Cluster based Energy Efficient Multicast Protocol for Increasing Network Lifetime in WSN

99–102Wireless Sensor Networks (CWSN) consists of sensor node which is mobile roaming inside and outside the network region. The difficulty in existing models observed is to identify the best routes for forwarding packets. If the balancing of packet arrivals and energy conservation is not achieved, it may lead to reduction of network lifetime. In our research work, Fuzzy enhanced Cluster based Energy Efficient Multicast Protocol (FCEEMP) is developed based on three aspects. First one, the establishment of multicast routing based on the calculation of best route metric and average reliability metric. Second, the cluster is formed based on node stability and route capability. Three set of nodes are formed in the cluster network model i.e. sensor node, cluster member and Cluster Head (CH) to estimate energy consumption. Third, enhancement of fuzzy model is implemented to produce optimal energy and the value of network lifetime. From the simulation analysis, proposed protocol achieves better improvement over existing schemes

Query Based Location Aware Energy Efficient Secure Multicast Routing for Wireless Sensor Networks Using Fuzzy Logic

In Wireless Sensor Networks (WSNs), balancing authentication and energy is a major concern while deploying for wireless applications. Due to the presence of attackers, node consumes excessive energy for packet replication or transmission. In existing work, it is observed that attention was not done on balancing energy and data authentication. Location aided routing will also support for achieving high network lifetime. Fuzzy decision approach was widely used in sensor network for ensuring quality of routing and transmission. In the proposed work, Fuzzy enhanced query based secure energy efficient multicast routing is implemented. Query based location based cluster formation is done for quick packet arrival. Optimal multicast routes are found to forward the packets with reliability. The reliable routes are identified using reliable index. Fuzzy decision model is integrated to provide secure and energy based network model for packet transmission. Network Simulator (NS2.35) is used for simulation for analyzing the performance of proposed protocol in terms of various network parameters

An Energy Aware and Secure MAC Protocol for Tackling Denial of Sleep Attacks in Wireless Sensor Networks

Wireless sensor networks which form part of the core for the Internet of Things consist of resource constrained sensors that are usually powered by batteries. Therefore, careful energy awareness is essential when working with these devices. Indeed,the introduction of security techniques such as authentication and encryption, to ensure confidentiality and integrity of data, can place higher energy load on the sensors. However, the absence of security protection c ould give room for energy drain attacks such as denial of sleep attacks which have a higher negative impact on the life span ( of the sensors than the presence of security features. This thesis, therefore, focuses on tackling denial of sleep attacks from two perspectives A security perspective and an energy efficiency perspective. The security perspective involves evaluating and ranking a number of security based techniques to curbing denial of sleep attacks. The energy efficiency perspective, on the other hand, involves exploring duty cycling and simulating three Media Access Control ( protocols Sensor MAC, Timeout MAC andTunableMAC under different network sizes and measuring different parameters such as the Received Signal Strength RSSI) and Link Quality Indicator ( Transmit power, throughput and energy efficiency Duty cycling happens to be one of the major techniques for conserving energy in wireless sensor networks and this research aims to answer questions with regards to the effect of duty cycles on the energy efficiency as well as the throughput of three duty cycle protocols Sensor MAC ( Timeout MAC ( and TunableMAC in addition to creating a novel MAC protocol that is also more resilient to denial of sleep a ttacks than existing protocols. The main contributions to knowledge from this thesis are the developed framework used for evaluation of existing denial of sleep attack solutions and the algorithms which fuel the other contribution to knowledge a newly developed protocol tested on the Castalia Simulator on the OMNET++ platform. The new protocol has been compared with existing protocols and has been found to have significant improvement in energy efficiency and also better resilience to denial of sleep at tacks Part of this research has been published Two conference publications in IEEE Explore and one workshop paper

A Learning based Secure Routing Approach using Deep Reinforcement Learning in IoT Integrated Wireless Sensor Network

The usage of Wireless Sensor Network (WSN) is ubiquitous in nature. With the emergence of Internet of Things (IoT) technology and its unprecedented use cases, the role of sensor networks as part of IoT application became crucial. WSN became backbone of IoT to realize integration between physical and digital worlds and connectivity to Internet. However, IoT devices are resource constrained with limited computational capabilities. The entire network is distributed in nature and has increased complexity. Routing in such WSN integrated IoT network plays an important role in achieving meaningful communication among objects. In this context, it is indispensable to have more energy efficient routing method. Since the IoT integrated sensor network is highly complicated, it is very dynamic in nature. Thus routing decisions are also dynamic leading to much importance to routing in such use cases. With the emergence of Artificial Intelligence (AI), it became possible to solve complex real world problems through learning based approach which acquires desired intelligence prior to making decisions. In this paper we proposed a deep reinforcement learning based routing mechanism for energy efficient routing in WSN-IoT integrated application. We proposed novel algorithms for network setup, formation of clusters and routing. Our method adapts to network changes due to energy levels, mobility and makes learning based routing decisions. We enhanced the method further with security to ensure its Qualityof Service (QoS) in presence of attacks. Our simulation study using MATLAB has revealed that the proposed secure routing approach outperforms existing protocols

Swarm Intelligence-Optimized Energy Management for Prolonging the Lifetime of Wireless Sensor Networks

 Recent technological and industrial progress has enabled the development of small, high-performing, energy-saving, affordable sensor nodes that possess the potential to adapt, be self-aware, and self-organize. These nodes are designed for versatile communications applications. Sensor networks for sustainable development focus on the ways in which sensor network technology can enhance social development and improve living standards without causing harm to the environment or depleting natural resources. Wireless sensor networks (WSNs) offer undeniable benefits in various fields, including the military, healthcare, traffic monitoring, and remote image sensing. Given the constraints of sensor networks, varying degrees of security are necessary for these critical applications, posing difficulties in the implementation of conventional algorithms. The issue of security has emerged as a primary concern in the context of IoT and smart city applications. Sensor networks are often regarded as the fundamental building blocks of IoTs and smart cities. The WSN encompasses a routing algorithm, network strength, packet loss, energy loss, and various other intricate considerations. The WSN also addresses intricate matters such as energy usage, a proficient approach for picking cluster heads, and various other concerns. The recent growth of Wireless Sensor Networks (WSNs) has made it increasingly difficult to ensure the trustworthiness and reliability of data due to the distinct features and limitations of nodes. Hostile nodes can easily damage the integrity of the network by inserting fake and malicious data, as well as launching internal attacks. Trust-based security is employed to detect and identify rogue nodes, providing a robust and adaptable protection mechanism. Trust evaluation models are crucial security-enhancement mechanisms that enhance the reliability and collaboration of sensor nodes in wireless sensor networks. This study recommends the use of DFA UTrust, a unique trust technique, to effectively satisfy the security requirements of WSNs

IEEHR: Improved Energy Efficient Honeycomb based Routing in MANET for Improving Network Performance and Longevity

In present scenario, efficient energy conservation has been the greatest focus in Mobile Adhoc Networks (MANETs). Typically, the energy consumption rate of dense networks is to be reduced by proper topological management. Honeycomb based model is an efficient parallel computing technique, which can manage the topological structures in a promising manner.  Moreover, discovering optimal routes in MANET is the most significant task, to be considered with energy efficiency. With that motive, this paper presents a model called Improved Energy Efficient Honeycomb based Routing (IEEHR) in MANET. The model combines the Honeycomb based area coverage with Location-Aided Routing (LAR), thereby reducing the broadcasting range during the process of path finding. In addition to optimal routing, energy has to be effectively utilized in MANET, since the mobile nodes have energy constraints. When the energy is effectively consumed in a network, the network performance and the network longevity will be increased in respective manner. Here, more amount of energy is preserved during the sleeping state of the mobile nodes, which are further consumed during the process of optimal routing. The designed model has been implemented and analyzed with NS-2 Network Simulator based on the performance factors such as Energy Efficiency, Transmission Delay, Packet Delivery Ratio and Network Lifetime