Abstract:

Energy efficient routing is an important issue for the design of Wireless Sensor Networks (WSN) protocols to meet the severe hardware and resource constraints. Studying existing routing protocols in WSNs is currently a very challenging task for protocol designers. This paper presents some energy efficient routing protocols in WSNs, where we focused on the clustering technique used in routing protocols and the energy consumption challenge by three cluster-based routing protocols: LEACH, LEACH-C and Static-Clustering.

Abstract:

In this paper, we propose a new method for metric calculations. It aims to improve mobility management in wireless networks. The idea consists in anticipating metric values in order to compensate the delay generated by the measure of the link quality and the routing protocols. As an example, we consider the popular ETX (Expected Transmission Count) metric. We focus on ad-hoc networks, even if our approach could be used in other contexts. We show by simulations that our approach, when well parameterized, allows a Packet Delivery Ratio close to 100% when nodes are moving.

Abstract:

In this paper, we presented a new technique to address the problem of energy overconsumption which has arisen from the redundancy of processing a message sent to multiple destination nodes. This novel technique is applied by British Gas Company to guard against fire. An algorithm was implemented in order to make the multicast routing methodology as well as ensuring a shorter latency, minimizing power consumption and elongating the wireless sensors network’s (WSN) life. This type of routing usually produces a phenomenon of collision which can be avoided by applying the CSMA / CA mechanism. The validation of this approach was conducted on the monitoring intruder model to enable the transmission of information collected by a smoke detector to sound alarms installed in different placement in the industry. The comparison between the synthesized technique and the unicast method has shown that our approach is efficient in the reduction of the energy consumed by 19.17%.