Efficient lifetime maximization data gathering technique for routing in wireless sensor networks

Abstract

Wireless sensor network (WSN) is a group of small sensor nodes deployed for physical environment measurement. The main features of these small sensor nodes are their limited capabilities in term of the energy reserve, the processing ability and the memory storage. So that, the data gathering protocols design for WSN is a crucial challenge since those protocols should be simple, energy-aware, and scalable. They should also be self-configurable to node failures and changes of the network topology dynamically. In this paper, we present a new algorithm for gathering sensor readings based on short chain forming. To allow network lifetime extension, the short chain is used, instead of starting from the furthest node and using greedy algorithm as PEGASIS do. Thus, the network lifetime is increased compared to PEGASIS, which is proved through simulation results.

Towards Improved Lifespan for Wireless Sensor Networks: A Review of Energy Harvesting Technologies and Strategies

“…Indeed, in our research [2], [3], for a new contribution in the process of raising awareness of energy conservation in WSN we achieved some prospections of the most used routing protocols. We were focused on the improvement of the most successful hierarchical routing protocols LEACH and PEGASIS.…”

“…Those protocols are based respectively on the clustering approach and the chain-forming approach, from which we designed and developed new algorithms CTEB "Clustering Technique based on Energy Balancing algorithm for routing in wireless sensor networks" [2] and ELMDGT "Efficient Lifetime Maximization Data Gathering Technique for routing in wireless sensor networks" [3]. Our new protocols allowed us to further optimize the energy consumption in WSN so that the system can last for more time.…”

“…The research carried out for the new energy management methods, has led to classify two strategic categories for these autonomous systems. A category qualified as ''Software'' since it is oriented routing protocol algorithms [1]- [3] and in which the appropriate data traffic model is adopted, as well as short-range transmitting (IEEE.802. There is also a category called ''Hardware'' related to the material aspect like batteries (Alkaline, Lithium-ion, Ni-Cd, Ni-Mh, ...), supercapacitors (activated carbon, Manganese (Mn), Graphite, ruthenium oxide (RuO2), selected electrolyte, ...), dielectric materials, etc...…”