Conference Paper

A fair routing protocol using generic utility based approach in Wireless Sensor Networks.

Dept. of Comput. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
DOI: 10.1109/ICUMT.2009.5345348 Conference: Proceedings of the International Conference on Ultra Modern Telecommunications, ICUMT 2009, 12-14 October 2009, St. Petersburg, Russia
Source: IEEE Xplore

ABSTRACT Wireless sensor networks (WSN) have been noticed and researched nowadays. These new type of networks have unique characteristics. These characteristics make them different rather than other networks. WSNs composed of set of nodes that collect and transmit information about their environment. They have different constraints such as computational power, storage capacity, energy and etc. Of course the main constraint in wireless sensor networks is energy. Nodes energy source is limited and in most cases not rechargeable. Fairness in node's energy consumption can increase network lifetime. In this paper problem of data transport in WSN as an optimization problem is formulated. Objective function is to maximize performing fairness in network nodes subject to flow and energy constraints. Out put of optimization problem is a vector which consists of all links portion. Output is investigated via Opnet simulator.

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    ABSTRACT: Use of general and efficient routing protocols for wireless multimedia sensor networks (WMSN) is of crucial significance Similar to other traditional networks, in WMSN a noticeable proportion of energy is consumed due to communications. In addition to energy, depending on network's application, many other parameters are also considered. In this paper, a data centric routing protocol which considers end to end delay, reliability, energy consumption, lifetime and fairness have been taken into account. The Proposed protocol which is called MREEP (Multimedia Reliable Energy Efficient routing Protocol) provides sending traffics with different priorities and QoS requirements based on constraint based routing. We study the performance of MREEP using different scenarios. Simulation results show that MREEP has achieved its goals.
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