Adel Gaafar A. Elrahim

Bio: Adel Gaafar A. Elrahim is an academic researcher from Ain Shams University. The author has contributed to research in topics: TCP acceleration & Routing protocol. The author has an hindex of 2, co-authored 2 publications receiving 9 citations.

Improving TCP congestion control for wireless sensor networks

Abstract: The development of wireless technologies makes it necessary to find a way of improving Transmission Control Protocol (TCP) efficiency with regards to optimal utilization of wireless channel capacity. This paper describes a modification to the TCP congestion control for use in wireless sensor networks. It shows that by slightly modifying the algorithm of the TCP, it can be made to respond better to wireless links, while maintaining its advantages on the wired networks at the same time. This is certainly a very desirable feature as the conventional TCP in most cases contradicts the demands of the wireless links of the network. Our simulation results indicate that the modified TCP gives better performance in terms of higher throughput, delay, retransmission, and energy consumption than conventional TCP protocol.

An energy aware routing protocol for mixed static and mobile nodes in wireless sensor networks

Abstract: Wireless sensor networks, a distributed network of sensor nodes perform critical tasks in many application areas such as target tracking in military applications, detection of catastrophic events, environment monitoring, health applications etc. The routing protocols developed for these distributed sensor networks need to be energy efficient and scalable. In this paper, we propose an energy efficient data forwarding protocol called Energy Aware Geographic Routing Protocol (EAGRP) for wireless sensor networks to extend the life time of the network. The proposed protocol is an efficient and energy conservative routing technique for multi-hop wireless sensor networks. The significance of this study is that there has been a very limited investigation of the effect of mobility models on routing protocol performance in Wireless Sensor Network. We have considered the influence random waypoint mobility models on the performance of EAGRP routing protocol. The performance measures have been analyzed with variable number of nodes. Our simulation results indicate that the proposed algorithm gives better performance in terms of higher packet delivery ratio, throughput, energy consumption, routing overhead, and delay.

pCoCoA: A precise congestion control algorithm for CoAP

Abstract: The Constrained Application Protocol (CoAP) is an IETF standard application protocol for the future Internet of Things (IoT). Since IoT devices are often interconnected by networks characterized by high packet error rates and low throughput, congestion control will be crucial to ensure proper and timed communication in these networks. Therefore, CoCoA+, an advanced congestion control algorithm for CoAP, is currently being specified by the IETF. In this work, we present a critical analysis of CoCoA+ performance and highlight some of its shortcomings and pitfalls. Two different scenarios are considered: one with an increasing traffic load due to an increasing number of CoAP requests, and another with an interfering traffic concurrently transmitted in the network characterized by a bursty pattern. In the former scenario, we show how CoCoA+ may be characterized by many spurious retransmissions at some offered loads close to congestion. In the latter, we show instead how the weak estimator is not particularly effective in adapting to changing traffic loads. In order to overcome such limitations, a number of modifications to CoCoA+ are proposed. The resulting solution, named precise Congestion Control (pCoCoA), is shown to reduce the number of retransmissions, while guaranteeing throughputs and delays comparable to those of CoAP and CoCoA+.

TCP congestion control with delay minimization in MANET

Abstract: In Mobile Ad hoc Networks (MANET), mobile nodes are organized randomly without any fix access point. Due to the limited bandwidth and dynamic topology of nodes, the network congestion occurs. Congestion control is the main problem in ad-hoc networks. Congestion control is associated to controlling traffic incoming into a telecommunication network. The end-to-end Transmission Control Protocol (TCP) performance degrades rapidly with increase load in number of hops. This is one of the biggest problems of TCP over wireless networks. In this research work, we proposed to develop the Effective TCP Congestion Control AODV routing which consists of congestion monitoring on the basis of queue length and rate control. The overall congestion status is measured in congestion monitoring. In route establishment, we propose congestion control in the particular channel, queue length of packet, traffic rate based overall congestion standard, packet loss rate and packet dropping ratio to monitor the congestion status. Based on the congestion standard, the congestion less based routing is established to reduce the packet loss, high overhead, long delay in the network. By extensive simulation, the proposed scheme achieves better throughput, packet delivery ratio, low end-to-end delay and overhead than the normal TCP based AODV routing.

A cross-layer approach to trustfulness in the Internet of Things

Abstract: It is a mistake to assume that each embedded object in the Internet of Things will implement a TCP/IP stack similar to those present in contemporary operating systems. Typical requirements of ordinary things, such as low power consumption, small size, and low cost, demand innovative solutions. In this article, we describe the design, implementation, and evaluation of a trustful infrastructure for the Internet of Things based on EPOSMote. The infrastructure was built around EPOS' second generation of motes, which features an ARM processor and an IEEE 802.15.4 radio transceiver. It is presented to end users through a trustful communication protocol stack compatible with TCP/IP. Trustfulness was tackled at MAC level by extending C-MAC, EPOS native MAC protocol, with AES capabilities that were used to encrypt and authenticate IP datagrams packets. Our authentication mechanism encompasses temporal information to protect the network against replay attacks. The prototype implementation was assessed for processing, memory, and energy consumption with positive results.

Improving TCP congestion control for wireless sensor networks

Abstract: The development of wireless technologies makes it necessary to find a way of improving Transmission Control Protocol (TCP) efficiency with regards to optimal utilization of wireless channel capacity. This paper describes a modification to the TCP congestion control for use in wireless sensor networks. It shows that by slightly modifying the algorithm of the TCP, it can be made to respond better to wireless links, while maintaining its advantages on the wired networks at the same time. This is certainly a very desirable feature as the conventional TCP in most cases contradicts the demands of the wireless links of the network. Our simulation results indicate that the modified TCP gives better performance in terms of higher throughput, delay, retransmission, and energy consumption than conventional TCP protocol.

Modified Training Algorithm for Spiking Neural Network and its Application in Wireless Sensor Network

Abstract: In this paper, controlling of data traffic of the Wireless Sensor Network (WSN) is implemented to improve the Quality of Service (QoS) in WSN with mobile sink node. The quality of service is measured in terms of throughput ratio, Packet Loss Ratio (PLR) and Network Energy Consumption (NEC). Spiking neural network is applied to implement the controller that is most suitable with changeable traffic data. The controller is implemented based on python simulation. Simulation results showed that the proposed controller provides better quality of service in comparison with wireless sensor network without controller by about 57%. Keyword: Wireless Sensor Network, Congestion Control in Wireless Sensor Network, improve QoS in Wireless Sensor Network.