Energy Conservation with Network Coding for Wireless Sensor Networks with Multiple Crossed Information Flows

Abstract

The theory of network coding is hardly ever used and cannot be mapped to general wireless sensor network (WSN) topologies without careful consideration of technology constraints. Severe energy constraints and low bandwidth are faced by platforms of low computational power. We show how network coding methods can be implemented with low computational power. We discuss extensive experimentation in simulation of scalability for arbitrarily large networks. It is configured according to the results from mote hardware measurements. The testbed implementation and the mote software implementation is kept completely generic. All phases, including the initialization, are implemented and work for mesh networks of any size without modification. Our work explains important considerations for applying network coding to WSNs. The gain from applying the method over ad-hoc on-demand (AODV) like routing closely approaches the optimum value of 2. Thereby WSN resource constraints are relaxed and network lifetime is prolonged.

S-RLNC based MAC Optimization for Multimedia Data Transmission over LTE/LTE-A Network

“…Now, considering the transmission nature of LTE/LTE-A systems where the classical Automatic Repeat Request (ARQ) or Hybrid-ARQ (HARQ) are used as FEC to perform successful data transmission, it is obvious that ARQ/HARQ introduces significant signaling overhead in acknowledging transmitter about successful packet delivery. To alleviate these issues, NC technique can be applied, which has emerged as one of the dominating approach to enable reliable and QoS efficient transmission [6][7][8][9][10][11]. NC scheme can be a better alternative to alleviate limitations of HARQ that as a result can augment classical Forward Error Correction (FEC) process [12] for delivering enhanced MBMS transmission [13,14].…”

Cooperative network-coding system for wireless sensor networks

“…The proposed system brings together the two schemes by first combining y i from two sources received after the first UL transmission at the relay, and then broadcasting no more than 1 combined packets in 1 time slots. The combination at the relay is in the form: y 1 +y 2 , y 2 +y 3 , …, y ( 1) +y , taking into account that x i is known at the i th node and other x's can be recovered from received packets.…”

“…This motivated research into power)efficient protocols with minimal communications overhead and relay)based approaches to extend the coverage area of the WSN via novel techniques such as network coding (NC) [1], cooperative communications [2,3], and cooperative NC [4]. An efficient implementation of NC with low computational power is presented in [1]. In [2], network cooperative communications has been investigated for quality of service (QoS) provisioning in resource)constrained WSN and a multi)agent reinforcement learning)based multi)hop mesh cooperative communication mechanism proposed.…”

“…Hence, protocols that reduce the node power)consumption by cutting down on communications are a key requirement for practical WSN applications. This motivated research into power)efficient protocols with minimal communications overhead and relay)based approaches to extend the coverage area of the WSN via novel techniques such as network coding (NC) [1], cooperative communications [2,3], and cooperative NC [4]. An efficient implementation of NC with low computational power is presented in [1].…”