Sharifah Hafizah

Biological inspired self-optimized routing algorithm for wireless sensor networks

At present, the field of wireless sensor networks (WSNs) is an important and challenging research area. Advancements in sensor networks enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop routing in WSN is interrupt 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. In this paper, the design and work on ant based autonomous routing method for wireless sensor network are presented. Certain parameters like energy level, link quality and velocity are considered while making the decision. These decisions will come up with the optimal route to forward data towards destination. The given bio-inspired self-optimized mechanism will maximize traffic throughput while reducing the end to end delay over the network.

An intelligent information security mechanism for the network layer of WSN: BIOSARP

In multihop wireless sensor network (WSN) users or nodes are constantly entering and leaving the network. Classical techniques for network management and control are not conceived to efficiently face such challenges. New mechanisms are required, to work in a self-organized manner. The techniques found in nature promises WSN, to self-adapt the environmental changes and also self-protect itself from the malicious stuff. This paper introduces a biological inspired secure autonomous routing protocol (BIOSARP). The self-optimized routing protocol is enhanced with artificial Immune System (AIS) based autonomous security mechanism. It enhances WSN in securing itself from the abnormalities and most common WSN routing attacks. NS2 based simulation analysis and results of BIOSARP are presented. The comparison of proposed intelligent protocol with SAID and SRTLD security mechanisms for WSN is further exhibited, in terms of processing time and energy consumption.

Cross layer based biological inspired self-organized routing protocol for wireless sensor network

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.

Proposed Nature Inspired Self-Organized Secure Autonomous Mechanism for WSNs

The field of wireless sensor network (WSN) is an important and challenging research area today. Advancements in sensor networks enable a wide range of environmental monitoring and object tracking applications. Secure routing in sensor networks is a difficult problem due to the resources limitations in WSN. 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 and human self security systems have shown an excellent performance for WSNs. Certain parameters like energy level, link quality, lose rate are considered while making decision. This decision will come up with the optimal route and also to take best action against the security attacks. In this paper, the design and initial work on BIOlogical-inspired self-organized Secure Autonomous Routing Protocol (BIOSARP) for WSNs is presented. The proposed bio-inspired algorithm will also meet the enhanced sensor network requirements, including energy consumption, success rate and time.

Interference aware channel assignment (IACA) for cognitive wireless mesh networks

In this paper, we present the end-to-end interference aware concept of Cognitive wireless mesh network (CWMN). CWMN is the leading upcoming technology with the advantage of cognitive radio (CR). We demonstrate that the end-to-end interference model has the ability to perform better from SINR base model. To enhance the utilization of the unused spectrum the channel selection strategy should have some awareness mechanism to avoid interference. In this paper, novel interference aware channel assignment (IACA) algorithm is proposed. The end-to-end delay, packet delivery ratio and the throughput is used to estimate the performance of the proposed algorithm. The numerical results demonstrate that the proposed algorithm is closer to the optimum resource utilization.

Self-optimized autonomous routing protocol for wireless sensor networks with cross layer architecture

Presently, the field of wireless sensor networks (WSNs) is an important and 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-optimized and independent mechanism is required to tackle problems arise in WSN. The ant inspired routing has shown an excellent performance for WSNs. In this paper, the model of self-optimized autonomous routing algorithm BIOSARP with cross layer architecture for WSN and its results are presented. Certain parameters like energy level, delay and velocity are considered while making decisions. Energy level and velocity metrics are trade in from physical layer to network layer while discovering an optimal route and also in initialization process. These robust decisions will come up with the optimized route for WSN.

The triggering mechanism of mobile server allocation for video live-casting application

The growth of real-time video traffic on the Internet requires high bandwidth which causes the use of the conventional point-to-point method to deliver the video is not relevant anymore. Content providers are now leveraging the Content Delivery Network (CDN) and Peer to Peer Network (P2P) to reduce the inter-ISP traffic thus improving the end user experience. On the other hand, the Dynamic Mobile Server (DMS) approach has been proposed where a server is dynamically allocated in the Local Area Network to confine the traffic in the local network. In this paper, the triggering of server allocation and the client redirection of DMS have been analysed. The experimental results showed that the server allocation takes under 37 seconds to complete while the client redirection could be done in less than one second in the network with more than 90% of the bandwidth has been utilized.